@article {Meshram2021131336,
	title = {IBOOST: A Lightweight Provably Secure Identity-Based Online/Offline Signature Technique Based on FCM for Massive Devices in 5G Wireless Sensor Networks},
	journal = {IEEE Access},
	volume = {9},
	year = {2021},
	note = {cited By 7},
	pages = {131336-131347},
	abstract = {The fifth-generation (5G) wireless network is commercialized. The need to integrate massive devices in 5G and wireless sensor networks (WSN) to provide several convenient services for network users becomes imperative. However, there are growing concerns that 5G-WSNs pose new security threats to sensitive user information. User authentication and key agreement have been provided for secure end-to-end communication. However, stricter security techniques are required as billions of massive devices are being networked to collect and process complex user data in real-time. Therefore, anonymous authentication and authorization are highly coveted for privacy preservation and prevention of unlawful exploitation of user data. However, guaranteeing data integrity, authentication, and non-repudiation require special-purpose identity-based signature techniques that are quite difficult to design in practice. In order to address this problem, this paper proposes a lightweight, provably secure identity-based online/offline signature technique (IBOOST) and its extension for massive devices in 5G-WSNs using fractional chaotic maps. The IBOOST scheme achieves multi-time use of offline storage at a lower processing time. Therefore, the signer can reuse the offline pre-stored information in a polynomial time. This makes our IBOOST superior to the existing online/offline signature techniques that allow only a single signature. Additionally, the new technique enables the pre-registration process with a secret key, and no secret key is required in the offline stage. Also, the proposed IBOOST proves to be secure in the random oracle unforgeability under the chosen message attack (UF-IBS-CMA). Finally, the IBOOST and its enhanced version (A-IBOOST) give the lowest computational costs compared to several contending techniques. Therefore, the proposed IBOOST shows superior security and performance with better computational overhead than the preliminary techniques. {\textcopyright} 2013 IEEE.},
	keywords = {5G mobile communication systems, 5g wireless sensor network system, Authentication, Chaotic communications, Chaotic map, Chaotic systems, Communication system security, Cryptography, Digital storage, Fractional chaotic map, Identity-based signature scheme, Lyapunov methods, Network security, Offline signatures, Polynomial approximation, Provably secure, Secure communication, Security, Sensor network systems, Wireless sensor networks},
	doi = {10.1109/ACCESS.2021.3114287},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115720532\&doi=10.1109\%2fACCESS.2021.3114287\&partnerID=40\&md5=7998ce2d4092c9f49d84029f3c9d35cd},
	author = {Meshram, C. and Imoize, A.L. and Elhassouny, A. and Aljaedi, A. and Alharbi, A.R. and Jamal, S.S.}
}
@article {Bennouri2020119,
	title = {Assessing the performance of different TCP congestion mechanisms in underwater wireless sensor networks},
	journal = {International Journal of Vehicle Information and Communication Systems},
	volume = {5},
	number = {1},
	year = {2020},
	note = {cited By 2},
	pages = {119-136},
	abstract = {Data transmission in Underwater Wireless Sensor Networks (UWSNs) is one of the key enablers used in technologies for future oceanmonitoring systems and other underwater applications. The use of acoustic waves in UWSNs suffer from a high propagation delay, as well as a limited available bandwidth due to the high-noise level, making the use of the different traditional existing protocols a major challenge in this environment. In this paper, we have chosen two TCP mechanisms already defined: TCP Vegas and TCP New Reno, to evaluate the effects of variable TCP packet size and TCP connection density in a subsea network under two common routing protocols, namely AODV and DSDV. The simulation results show that the performances of the two TCPs using DSDV routing protocol provide a more efficient result than those using the AODV routing protocol and that New Reno TCP gives better results than Vegas TCP in the UWSNs. {\textcopyright} 2020 Inderscience Enterprises Ltd.},
	keywords = {Acoustic wave propagation, AODV routing protocol, Available bandwidth, Bandwidth, High noise levels, Propagation delays, Routing protocols, TCP congestion, TCP connections, Transmission control protocol, Underwater application, Underwater wireless sensor networks, Wireless sensor networks},
	doi = {10.1504/IJVICS.2020.107193},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084918574\&doi=10.1504\%2fIJVICS.2020.107193\&partnerID=40\&md5=dc46b93dedd14eb8f8f2d95727287389},
	author = {Bennouri, H. and Berqia, A.A.}
}
@article {Merabet2020472,
	title = {A dynamic model for human thermal comfort for smart building applications},
	journal = {Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering},
	volume = {234},
	number = {4},
	year = {2020},
	note = {cited By 3},
	pages = {472-483},
	abstract = {Thermal comfort is closely related to the evaluation of heating, ventilation, and air conditioning systems. It can be seen as the result of the perception of the occupants of a given environment, and it is the product of the interaction of a number of personal and environmental factors. Otherwise, comfort issues still do not play an important role in the daily operation of commercial buildings. However, in the workplace, local quality effects, in addition to the health, the productivity that has a significant impact on the performance of the activities. In this regard, researchers have conducted, for decades, investigations related to thermal comfort and indoor environments, which includes developing models and indices through experimentations to establish standards to evaluate comfort and factors and set-up parameters for heating, ventilation, and air conditioning systems. However, to our best knowledge, most of the research work reported in the literature deals only with parameters that are not dynamically tracked. This work aims to propose a prototype for comfort measuring through a wireless sensor network and then presenting a model for thermal comfort prediction. The developed model can be used to set up a heating, ventilation, and air conditioning system to meet the expected comfort level. In particular, the obtained results show that there is a strong correlation between users{\textquoteright} comfort and variables such as age, gender, and body mass index as a function of height and weight. {\textcopyright} IMechE 2019.},
	keywords = {Air conditioning, Anthropometric parameters, Building applications, Commercial building, Dynamic models, Environmental factors, Heating, Human thermal comfort, Indoor environment, Intelligent buildings, Office buildings, Strong correlation, Thermal comfort, Thermal sensations, Ventilation, Wireless sensor networks},
	doi = {10.1177/0959651819865795},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070370072\&doi=10.1177\%2f0959651819865795\&partnerID=40\&md5=c43c4ba3e481928391ac3b08d4bea6df},
	author = {Merabet, G.H. and Essaaidi, M. and Benhaddou, D.}
}
@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 {10906318320150205,
	title = {Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks.},
	journal = {Journal of Computer Networks \& Communications},
	volume = {2015},
	year = {2015},
	pages = {1 - 7},
	abstract = {The intrusion detection application in a homogeneous wireless sensor network is defined as a mechanism to detect unauthorized intrusions or anomalous moving attackers in a field of interest. The quality of deterministic sensor nodes deployment can be determined sufficiently by a rigorous analysis before the deployment. However, when random deployment is required, determining the deployment quality becomes challenging. An area may require that multiple nodes monitor each point from the sensing area; this constraint is known as k-coverage where k is the number of nodes. The deployment quality of sensor nodes depends directly on node density and sensing range; mainly a random sensor nodes deployment is required. The major question is centred around the problem of network coverage, how can we guarantee that each point of the sensing area is covered by the required number of sensor nodes and what a sufficient condition to guarantee the network coverage? To deal with this, probabilistic int},
	keywords = {Intrusion detection systems (Computer security), Mathematical models, Probability theory, Wireless sensor networks, Wireless sensor nodes},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=109063183\&site=ehost-live},
	author = {Assad, Noureddine and Elbhiri, Brahim and Faqihi, Moulay Ahmed and Ouadou, Mohamed and Aboutajdine, Driss}
}
@article {10906318420150210,
	title = {An Energy-Efficient Clustering Routing Algorithm Based on Geographic Position and Residual Energy for Wireless Sensor Network.},
	journal = {Journal of Computer Networks \& Communications},
	volume = {2015},
	year = {2015},
	pages = {1 - 11},
	abstract = {Recently wireless sensor network (WSN) has become one of the most interesting networking technologies, since it can be deployed without communication infrastructures. A sensor network is composed of a large number of sensor nodes; these nodes are responsible for supervision of the physical phenomenon and transmission of the periodical results to the base station. Therefore, improving the energy efficiency and maximizing the networking lifetime are the major challenges in this kind of networks. To deal with this, a hierarchical clustering scheme, called Location-Energy Spectral Cluster Algorithm (LESCA), is proposed in this paper. LESCA determines automatically the number of clusters in a network. It is based on spectral classification and considers both the residual energy and some properties of nodes. In fact, our approach uses the K-ways algorithm and proposes new features of the network nodes such as average energy, distance to BS, and distance to clusters centers in order to deter},
	keywords = {Data transmission systems, Energy consumption, Routing algorithms, Wireless sensor networks, Wireless sensor nodes},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=109063184\&site=ehost-live},
	author = {Jorio, Ali and El Fkihi, Sanaa and Elbhiri, Brahim and Aboutajdine, Driss}
}
