@article {Filali20222174,
	title = {Dynamic SDN-Based Radio Access Network Slicing With Deep Reinforcement Learning for URLLC and eMBB Services},
	journal = {IEEE Transactions on Network Science and Engineering},
	volume = {9},
	number = {4},
	year = {2022},
	note = {cited By 3},
	pages = {2174-2187},
	abstract = {Radio access network (RAN) slicing is a key technology that enables 5G network to support heterogeneous requirements of generic services, namely ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB). In this paper, we propose a two time-scales RAN slicing mechanism to optimize the performance of URLLC and eMBB services. In a large time-scale, an SDN controller allocates radio resources to gNodeBs according to the requirements of the eMBB and URLLC services. In a short time-scale, each gNodeB allocates its available resources to its end-users and requests, if needed, additional resources from adjacent gNodeBs. We formulate this problem as a non-linear binary program and prove its NP-hardness. Next, for each time-scale, we model the problem as a Markov decision process (MDP), where the large-time scale is modeled as a single agent MDP whereas the shorter time-scale is modeled as a multi-agent MDP. We leverage the exponential-weight algorithm for exploration and exploitation (EXP3) to solve the single-agent MDP of the large time-scale MDP and the multi-agent deep Q-learning (DQL) algorithm to solve the multi-agent MDP of the short time-scale resource allocation. Extensive simulations show that our approach is efficient under different network parameters configuration and it outperforms recent benchmark solutions. {\textcopyright} 2013 IEEE.},
	keywords = {5G mobile communication systems, Deep learning, EMBB, Heuristic algorithms, Heuristics algorithm, Learning algorithms, Low-latency communication, Markov processes, Multi agent systems, Network slicing, Optimisations, Optimization, Quality of service, Quality-of-service, Radio access networks, Reinforcement learning, Resource allocation, Resource Management, Software agents, Software defined networking, Software-defined networkings, Time measurement, Ultra reliable low latency communication, URLLC},
	doi = {10.1109/TNSE.2022.3157274},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126273319\&doi=10.1109\%2fTNSE.2022.3157274\&partnerID=40\&md5=44d6a41c3d7b8b6d8c4d6918856f36c5},
	author = {Filali, A. and Mlika, Z. and Cherkaoui, S. and Kobbane, A.}
}
@article {Douch202269264,
	title = {Edge Computing Technology Enablers: A Systematic Lecture Study},
	journal = {IEEE Access},
	volume = {10},
	year = {2022},
	note = {cited By 1},
	pages = {69264-69302},
	abstract = {With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications (e.g., e-Health, autonomous vehicles, smart cities, etc.), as well as the rapidly increasing number of connected IoT (Internet of Things) devices, the core network is becoming increasingly congested. To cope with those constraints, Edge Computing (EC) is emerging as an innovative computing paradigm that leverages Cloud computing and brings it closer to the customer. {\textquoteright}EC{\textquoteright} refers to transferring computing power and intelligence from the central Cloud to the network{\textquoteright}s Edge. With that, EC promotes the idea of processing and caching data at the Edge, thus reducing network congestion and latency. This paper presents a detailed, thorough, and well-structured assessment of Edge Computing and its enabling technologies. Initially, we start by defining EC from the ground up, outlining its architectures and evolution from Cloudlets to Multi-Access Edge Computing. Next, we survey recent studies on the main cornerstones of an EC system, including resource management, computation offloading, data management, network management, etc. Besides, we emphasized EC technology enablers, starting with Edge Intelligence, the branch of Artificial Intelligence (AI) that integrates AI models at resource-constrained edge nodes with significant heterogeneity and mobility. Then, moving on to 5G and its empowering technologies, we explored how EC and 5G complement each other. After that, we studied virtualization and containerization as promising hosting runtime for edge applications. Further to that, we delineated a variety of EC use-case scenarios, e.g., smart cities, e-Health, military applications, etc. Finally, we concluded our survey by highlighting the role of EC integration with future concerns regarding green energy and standardization. {\textcopyright} 2013 IEEE.},
	keywords = {5g, 5g mobile communication, 5G mobile communication systems, Cloud-computing, computation offloading, Containerization, Containers, Data handling, Edge computing, Edge intelligence, Fog computing, Information management, Internet of things, License, Military applications, Mobile communications, Multi-access edge computing, Multiaccess, Quality of service, Quality-of-service, Surveys},
	doi = {10.1109/ACCESS.2022.3183634},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132750947\&doi=10.1109\%2fACCESS.2022.3183634\&partnerID=40\&md5=88667ef450dd686759983878427de051},
	author = {Douch, S. and Abid, M.R. and Zine-Dine, K. and Bouzidi, D. and Benhaddou, D.}
}
@article {Daosabah2022163,
	title = {PDDL Planning and Ontologies, a Tool for Automatic Composition of Intentional-Contextual Web Services},
	journal = {EAI/Springer Innovations in Communication and Computing},
	year = {2022},
	note = {cited By 0},
	pages = {163-190},
	abstract = {Among the motivations of the related work on semantic Web services is to find optimal solutions for the composition of Web services in an automatic and adaptive way, whose main goal is to solve a given problem. To this end, several works have been implemented to provide solutions for service composition, and among these solutions, we find the use of artificial intelligence (AI) planning systems. The idea introduced in this paper is based on the presentation of our service composition approach guided by the user-intention and the context awareness, in addition to a Context-Intentional Service Composition Architecture (CISCA) for implementing this approach. In the same way, we will present an AI planning technique to solve a composition problem, namely, the Planning Domain Description Language (PDDL) and the basis for reciprocal transformation with the Web Ontology Language (OWL). {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	keywords = {Artificial intelligence planning, Automatic composition, Birds, Context- awareness, Intention, Ontology, Ontology{\textquoteright}s, OWL-S, Planning domain description languages, Quality of service, Related works, Semantic Web, Services composition, Web services, Webs services, Websites},
	doi = {10.1007/978-3-030-77185-0_11},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125907756\&doi=10.1007\%2f978-3-030-77185-0_11\&partnerID=40\&md5=16113b5121fd2ffdba8c9fed915dd4e8},
	author = {Daosabah, A. and Guermah, H. and Nassar, M.}
}
@conference {Abouaomar2021273,
	title = {A deep reinforcement learning approach for service migration in MEC-enabled vehicular networks},
	booktitle = {Proceedings - Conference on Local Computer Networks, LCN},
	volume = {2021-October},
	year = {2021},
	note = {cited By 4},
	pages = {273-280},
	abstract = {Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular network. Due to the vehicles mobility, their requested services (e.g., infotainment services) should frequently be migrated across different MEC servers to guarantee their stringent quality of service requirements. In this paper, we study the problem of service migration in a MEC-enabled vehicular network in order to minimize the total service latency and migration cost. This problem is formulated as a nonlinear integer program and is linearized to help obtaining the optimal solution using off-the-shelf solvers. Then, to obtain an efficient solution, it is modeled as a multi-agent Markov decision process and solved by leveraging deep Q learning (DQL) algorithm. The proposed DQL scheme performs a proactive services migration while ensuring their continuity under high mobility constraints. Finally, simulations results show that the proposed DQL scheme achieves close-to-optimal performance. {\textcopyright} 2021 IEEE.},
	keywords = {Deep learning, Edge computing, Infotainment, Integer programming, Learning schemes, Markov processes, Multi agent systems, Multi-access edge computing, Multiaccess, Q-learning, Quality of service, Reinforcement learning, Reinforcement learning approach, Service migration, Vehicle mobility, Vehicular networks},
	doi = {10.1109/LCN52139.2021.9524882},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118466383\&doi=10.1109\%2fLCN52139.2021.9524882\&partnerID=40\&md5=8e35dfee04f347da3f757f57f5d575c8},
	author = {Abouaomar, A. and Mlika, Z. and Filali, A. and Cherkaoui, S. and Kobbane, A.}
}
@article {Daosabah2021324,
	title = {Dynamic composition of services: an approach driven by the user{\textquoteright}s intention and context},
	journal = {International Journal of Web Engineering and Technology},
	volume = {16},
	number = {4},
	year = {2021},
	note = {cited By 1},
	pages = {324-354},
	abstract = {With the continuous development of services in ubiquitous systems, service orientation is becoming increasingly important in its structuring. As a result, the design and the development of applications are gradually migrating from a traditional model to a service-oriented model. In this regard, we propose through this work an approach for web service (WS) composition guided by the context and the intention, by which we suggest an architecture for service composition that reduces the complexity of the generated artificial intelligence (AI) planning problem and to ensure the interoperability of any system independently of the domain planners. The general idea of this approach is to conceive an intentional-contextual metamodel that will be transformed into an OWL model using OMG standards, which will be used to map the WS composition problem into AI planning problems. This article describes the architectural, conceptual, and strategic aspects to deal with the WS composition problem. {\textcopyright} 2021 Inderscience Enterprises Ltd.},
	keywords = {Artificial intelligence, Birds, Context- awareness, Intention, interoperability, Object management, Object management group, OMG, Ontology{\textquoteright}s, OWL-S, Quality of service, Services composition, Spring cloud framework, Web service composition, Web services},
	doi = {10.1504/IJWET.2021.122768},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124011575\&doi=10.1504\%2fIJWET.2021.122768\&partnerID=40\&md5=f9387d7a26ae641892da27f98947542d},
	author = {Daosabah, A. and Guermah, H. and Nassar, M.}
}
@conference {Daosabah2021,
	title = {Integrating Context and Intention for Optimal Semantic Web Service Composition Using AI Planning},
	booktitle = {Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021},
	year = {2021},
	note = {cited By 0},
	abstract = {This paper deals with an approach for the dynamic composition of web service (WS) based on the user{\textquoteright}s intention and context. Our idea to implement this approach is based on the combination of artificial intelligence (AI) planning techniques and the semantic aspect describing the web service that will be composed. To this end, we will transform the web service composition problem into an AI planning problem. First, conversion of web service semantically described in OWL and OWL-S to an alternative problem and domain description specified in the planning domain description language (PDDL) is made. Then, a planner (AI Planner) using the Genetic Algorithm (GA) features will be invoked, by adapting the PDDL planning language actions to the GA rules, in order to generate the most optimal composition plan (sequence of PDDL actions), which solves the conceived service composition problem, having a goal to achieve (the intention) according to the problem domain description (context). {\textcopyright} 2021 IEEE.},
	keywords = {And OWL, Artificial intelligence, Artificial intelligence planning, Birds, Composition problem, Domain description, Genetic algorithms, Ontology{\textquoteright}s, OWL-S, Planning domain description languages, Quality of service, Semantic Web, Semantic web service compositions, Services composition, Web services, Webs services, Websites},
	doi = {10.1109/CommNet52204.2021.9641912},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123984789\&doi=10.1109\%2fCommNet52204.2021.9641912\&partnerID=40\&md5=582b92b4fd74d9de0d27f804898dee05},
	author = {Daosabah, A. and Guermah, H. and Choukri, I. and Nassar, M.}
}
@article {Illi202190,
	title = {Physical Layer Security of a Dual-Hop Regenerative Mixed RF/UOW System},
	journal = {IEEE Transactions on Sustainable Computing},
	volume = {6},
	number = {1},
	year = {2021},
	note = {cited By 15},
	pages = {90-104},
	abstract = {Ensuring physical layer security is a crucial task in conventional and emerging communication systems, which are typically characterized by stringent quality of service and security requirements. This also accounts for wireless technologies in the context of the Internet of Things paradigm, which are expected to exhibit considerably increased computational complexity. Based on this, the present contribution investigates the secrecy outage performance of a dual-hop decode-and-forward (DF) mixed radio-frequency/underwater optical wireless communication (RF/UOWC) system. Such wireless network configurations are particularly useful in efficient and demanding scenarios, such as military communications. Therefore, our analysis considers one single-antenna source node (SS) communicating with one legitimate destination node (DD) via a DF relay node (RR) equipped with multiple antennas for reception. Particularly, the relay receives the incoming signal from SS via an RF link, applies selection-combining (SC) technique, fully decodes it, re-encodes it, and then forwards it to the destination via a UOWC link. The communication is performed under the eavesdropper{\textquoteright}s attempt to intercept the S-RS-R hop (RF side). In this context, a closed-form expression for the secrecy outage probability is derived along with a thorough asymptotic analysis in the high SNR regime, based on which the achievable diversity order is provided. The offered results provide useful insights on the impact of some key system and channel parameters on the secrecy outage performance, such as the number of eavesdroppers, the number of relay antennas, fading severity parameters of RF links, and water turbulence severity of the UOWC link. The conducted analysis shows that the secrecy outage probability is dominated only by the RR-DD link in the high SNR regime, regardless of the SS-RR parameters, such as the number of relay antennas and the average SNR at the relay branches. The offered analytic results are corroborated with respective results from computer simulations. Since these parameters are closely related with the computational complexity at the involved terminals, the offered insights are useful for the design and computationally sustainable operation of such systems. {\textcopyright} 2016 IEEE.},
	keywords = {Antenna sources, Antennas, Asymptotic analysis, Complex networks, Computational complexity, Cooperative communication, Decoding, Dual-hop relaying, Fading channels, Military communications, Network layers, Optical communication, Performances analysis, Physical layer security, Probability, Quality of service, Secrecy outage probabilities, Secrecy outages, Selection combining, Signal to noise ratio, Single antenna, Source nodes, Underwater optical wireless communication},
	doi = {10.1109/TSUSC.2019.2906545},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098369882\&doi=10.1109\%2fTSUSC.2019.2906545\&partnerID=40\&md5=3021a37f73c102416a7e51dd6c971930},
	author = {Illi, E. and Bouanani, F.E. and Da Costa, D.B. and Sofotasios, P.C. and Ayoub, F. and Mezher, K. and Muhaidat, S.}
}
@conference {Hafaiedh2020,
	title = {Fuzzified Double Game for Qos-Aware LTE-U and Wifi Coexistence in 5Ghz Band},
	booktitle = {2020 Global Information Infrastructure and Networking Symposium, GIIS 2020},
	year = {2020},
	note = {cited By 0},
	abstract = {In the current decade, cellular networks are facing the challenge of meeting aggressive data demand with limited licensed spectrum and LTE over the unlicensed band (LTE-U) has come as an effective way to defeat this problem. Using LTE-U along with superior techniques such as carrier aggregation (CA), it became possible to boost the performance of existing cellular networks. However, LTE-Ucan potentially deteriorate the performance of coexisting WiFi systems operating over the unlicensed bands if not well managed. Mainly because of the LTE-U{\textquoteright}s selfish nature of using the resources without sharing. In this paper, an effective coexistence mechanism between LTE-U and WiFi systems is being investigated. The point is to facilitate the cellular networks to use LTE-U with CA to satisfy the quality-of-service (QoS) of the users while protecting WiFi users, considering multiple operators in a dense deployment scenario. To resolve this problem, a double cooperative game will be used. That game will be implemented, in addition to the fuzzy logic, which will help us in resource allocation for users QoS. {\textcopyright} 2020 IEEE.},
	keywords = {Carrier aggregations, Cellular network, Cellular radio systems, Cooperative game, Deployment scenarios, Fuzzy logic, Mobile telecommunication systems, Multiple operator, QoS-aware, Quality of service, Superior technique, Wi-Fi, WiFi systems, Wireless local area networks (WLAN)},
	doi = {10.1109/GIIS50753.2020.9248487},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097601439\&doi=10.1109\%2fGIIS50753.2020.9248487\&partnerID=40\&md5=ca56971766f975bae3c7b9a084c6b679},
	author = {Hafaiedh, H. and El Korbi, I. and Langar, R. and Saidane, L.A. and Kobbane, A.}
}
@article {Amine2020,
	title = {Two-sided matching framework for optimal user association in 5G multi-RAT UDNs},
	journal = {International Journal of Communication Systems},
	volume = {33},
	number = {8},
	year = {2020},
	note = {cited By 2},
	abstract = {Recently, academic and industrial research communities are paying more explicit attention to the 5G multiple radio access technology ultra-dense networks (5G multi-RAT UDNs) for boosting network capacity, especially in UD urban zones. To this aim, in this paper, we intend to tackle the user association problem in 5G multi-RAT UDNs. By considering the decoupled uplink/downlink access (DUDA), we divide our user association problem into two distinct subproblems representing, respectively, the uplink and the downlink channels. Next, we formulated each one as a nonlinear optimization problem with binary variables. Then, to solve them, we were restricted by the hard complexity, as well as the hard feasibility of centralized user association schemes. Thus, to resolve our user association problem in a reasonable time and distributed manner, we formulated each subproblem as a many-to-one matching game based on matching theory. Next, we provide two fully distributed association algorithms to compute the uplink and downlink stable matching among user equipments (UEs) and base stations (BSs). Simulation results corroborate our theoretical model and show the effectiveness and improvement of our achieved results in terms of the overall network performance, quality of service (QoS), and energy efficiency (EE) of UEs. {\textcopyright} 2020 John Wiley \& Sons, Ltd.},
	keywords = {5G mobile communication systems, 5G multi-RAT UDNs, Association algorithms, decoupled uplink/downlink access (DUDA), energy efficiency, Game theory, Industrial research, Matching game, Matching theory, Network performance, Nonlinear programming, Optimization, Quality of service, Rats, Stable matching},
	doi = {10.1002/dac.4346},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078931379\&doi=10.1002\%2fdac.4346\&partnerID=40\&md5=159a3a40021d6b340c2873e4db73e2ac},
	author = {Amine, M. and Kobbane, A. and Ben-Othman, J. and Walid, A.}
}
@article {11515935620160506,
	title = {Achieving QoS in Virtual MIMO systems: a satisfaction equilibrium analysis.},
	journal = {EURASIP Journal on Wireless Communications \& Networking},
	volume = {2016},
	number = {1},
	year = {2016},
	pages = {1 - 13},
	abstract = {This paper presents a game theoretic framework to analyze a cellular-WLAN heterogeneous network from a virtual multiple-input multiple-output (VMIMO) perspective. Namely, we restrict to the uplink case and consider a non-cooperative game where each user seeks to meet some quality of service (QoS). Moreover, mobile users are allowed to re-inject, through their WLAN interfaces, a part of their throughput in the induced game. Thus, the interaction among users defines a distributed VMIMO with a possibly throughput exchange. This mechanism will help all users to meet their respective QoS expressed by the perceived average throughput. The average throughput is considered to be the utility function used in this framework. Now, each mobile user experiences a certain throughput composed of two parts: (1) the throughput received from cellular subsystem and (2) the throughput received from WLAN subsystem. Naturally, we use the concept of satisfaction equilibrium to predict the behavior of the ne},
	keywords = {Cellular/WLAN heterogeneous network, Equilibrium {\textendash} Research, Game theory, Game theory {\textendash} Research, MIMO systems {\textendash} Research, Quality of service, Quality of service {\textendash} Research, Satisfaction equilibrium, Virtual multiple input multiple output, Wireless LANs {\textendash} Research},
	issn = {16871472},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=115159356\&site=ehost-live},
	author = {Bennani, Hassan and Sabir, Essaid and Kobbane, Abdellatif and Ben-Othman, Jalel and El-Koutbi, Mohamed}
}
@article {11387931120160401,
	title = {Efficient deployment quality analysis for intrusion detection in wireless sensor networks.},
	journal = {Wireless Networks (10220038)},
	volume = {22},
	number = {3},
	year = {2016},
	pages = {991 - 1006},
	abstract = {The intrusion detection in a Wireless Sensor Network is defined as a mechanism to monitor and detect any intruder in a sensing area. The sensor deployment quality is a critical issue since it reflects the cost and detection capability of a wireless sensor network. The quality of deterministic deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. In the intrusion detection application, it is necessary to define more precise measures of sensing range, transmission range, and node density that impact overall system performance. The major question is centred around the quality of intrusion detection in WSN, how we can guarantee that each point of the sensing area is covered by at least one sensor node, and what a sufficient condition to guarantee the network connectivity? In this paper, we propose an appropriate probabilistic model which provides the cover},
	keywords = {Graph theory, Integer programming, Intrusion detection probability, Intrusion detection systems (Computer security), Multiple access protocols (Computer network protocols), Network connectivity, Network coverage, Quality of service, Sensing range, Transmission range, Wireless sensor networks},
	issn = {10220038},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=113879311\&site=ehost-live},
	author = {Assad, Noureddine and Elbhiri, Brahim and Faqihi, Moulay and Ouadou, Mohamed and Aboutajdine, Driss}
}
@article {11338540020160228,
	title = {Vertical Handover Decision Algorithm Using Ants{\textquoteright} Colonies for 4G Heterogeneous Wireless Networks.},
	journal = {Journal of Computer Networks \& Communications},
	year = {2016},
	pages = {1 - 15},
	abstract = {With the development of 4G mobile telecommunication systems, providing users with the convenience of a seamless continuous connection is not enough anymore. Users want to be connected through the best available network with the best quality of service. It is necessary to have a good decision-making algorithm which decides whether it is necessary to perform handoff to another network, the best network to vertically perform handoff to, and the right time to initiate the handover. This paper proposes a new approach in which mobile terminals (MTs) continuously analyze the network and keep a database of the best available networks. The concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants{\textquoteright} colony optimization decision algorithm (ACOR), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity of MT, the power consumption and security, and the module for predicting the traveling distance within an},
	keywords = {Ant algorithms, Bandwidths, Quality of service, Roaming (Telecommunication), Wireless sensor networks},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=113385400\&site=ehost-live},
	author = {El Fachtali, Imad and Saadane, Rachid and Elkoutbi, Mohammed}
}
@article {9467097620130101,
	title = {Efficient Heuristic Based on Clustering Approach for OLSR.},
	journal = {Journal of Computer Networks \& Communications},
	year = {2013},
	pages = {1 - 7},
	abstract = {Due to the dynamic nature of mobile ad hoc network (MANET), the quality of service (QoS) requires several improvements. The present paper comes within the framework of research to optimize QoS in MANET. In this paper, we propose a novel version of OLSR based on the clustering approach which is inspired from Lin and Chu heuristic and adapted to be implemented in OLSR. We studied its stability and we compared its performances to those of standard OLSR. The metrics we used in evaluating network performances were average end-to-end delay, control routing overhead, and packet delivery ratio. Experimental results show that our alternative significantly reduces the traffic reserved to monitoring the network, which positively influences other performances such as throughput, delay, and loss. [ABSTRACT FROM AUTHOR]},
	keywords = {Ad hoc networks (Computer networks), Document clustering, Heuristic algorithms, Internet traffic, Performance evaluation, Quality of service, Routing (Computer network management)},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=94670976\&site=ehost-live},
	author = {Choukri, Ali and Habbani, Ahmed and Koutbi, Mohamed El.}
}
@article {4562825420091002,
	title = {Resource Optimization of Mobile Intelligent System With Heart MPLS Network.},
	journal = {International Journal of Interactive Mobile Technologies},
	volume = {3},
	number = {S2},
	year = {2009},
	pages = {58 - 64},
	abstract = {In this paper, we introduce the original Mobile Intelligent System (MIS) in embedded FPGA architecture. This node will allow the construction of autonomous mobile network units which can move in unknowns, inaccessible or hostile environment for human beings, in order to collect data by various sensors and transmits them by routing to a unit of distant process. For the sake of improving the performance of transmission, we propose a global schema of QoS management using DiffServ/MPLS backbones. We provide an evaluation of several scenarios for combining QoS IP networks with MIS access network. We conclude with a study on interoperability between QoS patterns in access and backbone networks. [ABSTRACT FROM AUTHOR]},
	keywords = {Artificial intelligence, Computer architecture, DiffServ and MPLS, Information networks, intelligent sensors, Mobile communication systems, Quality of service, Routing (Computer network management) {\textendash} Equipment \& supplies, wireless sensor network},
	issn = {18657923},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=45628254\&site=ehost-live},
	author = {Oubaha, Jawad and Habbani, Ahmed and Elkoutbi, Mohammed}
}
