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Dyabi M.,1 University of Settat | Saadoune M.,Hassan II University Mohammedia - Casablanca | Hajami A.,LAVETE Laboratory | Allali H.,1 University of Settat
International Review on Computers and Software | Year: 2015

A Mobile Ad-hoc network (MANET) is formed when group of mobile wireless nodes collaborate between them to communicate through wireless links in the absence of the fixed infrastructure and any centralized control. Clustering is the most popular method developed to provide hierarchy and resource management over mobile ad hoc networks. In the literature, several clustering approaches were proposed. They generally differ on the cluster head selection criteria. In this work we present a novel mobility metric for mobile ad hoc networks which is subsequently used as a basis for cluster formation. Our algorithm gives major improvements regarding the number and the mobility value of elected cluster heads. Analysis and simulation results are used to show the performance of our algorithm compared with other clustering algorithms in literature. Copyright © 2015 Praise Worthy Prize S.r.l. - All rights reserved. Source


Ben Alla S.,LAVETE Laboratory | Ezzati A.,LAVETE Laboratory | Mouhsen A.,IMMII Laboratory | Beni Hssane A.,University Chouab Doukkali University | Hasnaoui M.L.,University Chouab Doukkali University
2011 3rd International Conference on Next Generation Networks and Services, NGNS'2011 | Year: 2011

The deployment of wireless sensor networks in many application areas requires self organization of the network nodes into clusters. The clustering Algorithm is a kind of key technique used to reduce energy consumption. Efficient way to enhance the lifetime of the system is to partition the network into distinct clusters with a high energy node as cluster head. The different methods of node clustering techniques have appeared in the literature. In this article we propose a new protocol called Balanced and Centralized Distributed Energy Efficient Clustering scheme for heterogeneous wireless sensor networks (BCDEEC), which the Base Station ensure that the high energy nodes becoming a gateways and cluster heads to improve network lifetime and average energy savings. Once the cluster heads and associated clusters are created, cluster-head-to-gateway routing is used to transfer the data to the base station to reduce the energy consumption of cluster head and decrease probability of failure nodes. Finally, the simulation results show that BCDEEC is more energy efficient and is more effective in prolonging the network life time and prolong the time interval before the death of the first node than current important clustering protocols in heterogeneous environments. © 2011 IEEE. Source


El Fatimi Y.,LAVETE Laboratory | Mohammed F.,LAVETE Laboratory | Ezzati A.,LAVETE Laboratory
ACM International Conference Proceeding Series | Year: 2016

Wireless Sensor Networks usage is spreading throughout many aspects of life, such as health, military, security, environment monitoring and others, providing more important services with less efforts and costs. The rational energy consumption in WSNs is one of the main fields of scientific researches that have been done on the different layers of the protocols' stack, LEACH is an energy-efficient routing protocol based on the clustering technique that expands the lifetime span of a WSN remarkably. However the randomly chosen cluster head may be located near to another one, thing that causes a useless waste of energy that is proportional to the number of cluster heads located close to each others. A proposed distributed algorithm is designed by applying game theory concepts to design a non-cooperative game and a Nash Equilibrium solution's concept to avoid this issue, by computing a value of the probability to be cluster head, that takes into account the localization of other neighbor cluster heads. © 2016 ACM. Source


Mohammed F.,LAVETE Laboratory | Badr C.,LAVETE Laboratory | Abdellah E.,LAVETE Laboratory
International Conference on Next Generation Networks and Services, NGNS | Year: 2014

In wired networks there are different physical devices routing the traffic centrally. By consequence, we can create paths in the network by using multiple management rules, but in Ad-Hoc network nodes this work must be done in an autonomous way. For that there are three types of routing protocol proactive, reactive and hybrid. The first one continuously calculates the possible paths to be available at the time of transmission. The second one creates the roads only when they are needed. And the last one is a combination between the two methods. In this study we will focus on three routing protocols AODV, OLSR and ZRP; and compare their performance in terms of loss packets and energy efficient. © 2014 IEEE. Source


Hnini A.,LAVETE Laboratory | Ezzati A.,LAVETE Laboratory | Hajami A.,LAVETE Laboratory
International Conference on Multimedia Computing and Systems -Proceedings | Year: 2014

The limited energy resources of sensor nodes pose challenging issues on the development of protocols for WSN. Introducing clustering into hierarchical protocol reduces number of transmission in the network to reduce their energy deception, then to maximize network lifetime. But the LEACH case is not really reliable in the case of real-time traffic because real-time applications are characterized by their emergency to deliver data. We presented a technical with two dynamic parameters to improve QoS. Consist the first one is packet size and the second the next time to send data packets sensor on LEACH protocol. Those are varied depending on the state of network to stabilize network state in order to support multimedia traffic. In this ways we minimize delays gathering successive data packets from the same node. With the implementation of our technical in Network Simulator (ns2) we have improved QoS parameters including reducing network congestion end to end delay and traffic overload. Thereafter our result was compared with same preceding studies which consist of an evaluation of LEACH QOS behaviour subject to multimedia traffic. © 2014 IEEE. Source

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