Manel Chenait

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One of the main design challenges, in wireless sensor networks, is to save energy of sensors and obtain a long system lifetime without sacrificing the quality of network coverage and connectivity. Topology control based sleep scheduling is the primary technique of energy saving which consists to exploit node redundancy and save energy by putting as many(More)
One of the main design challenges, in wireless sensor networks, is to save energy of sensors and obtain long system lifetime without sacrificing the quality of network coverage and connectivity. Topology control is the primary technique of energy saving. It consists in keeping a minimum number of sensor nodes to operate in active mode with the purpose of(More)
Minimizing the energy consumption of battery-powered sensors is an essential consideration in sensor network applications like coverage, and sleep/wake scheduling mechanism has been proved to an efficient approach to handling this issue. Nevertheless, the frequent switching between states, during scheduling, leads also to significant energy consumption. In(More)
In this paper, we investigated the issue of energy conservation, in the WSNs, by keeping a minimum number of sensor nodes to operate in active mode as well as ensure network connectivity. To address this problem, we proposed a Geographical Topology Control (GTC) Protocol to reduce energy consumption in wireless sensor network by sleep scheduling among(More)
Topology control based Duty-Cycling is an efficiency approach that can enhance the sensor network lifetime. In this paper, we propose a Group-based Scheduling Protocol (GSP) for wireless sensor networks which exploits the network density and divides the nodes into groups and only one node in each group remains active. GSP identifies equivalent nodes in(More)
WSN consists of a large number of sensor nodes randomly deployed, and, in many cases, it is impossible to replace sensors when a node failure occurs. Thus, applications tend to deploy more nodes than necessary to cope with possible node failures and to increase the network lifetime, which leads to create some sensing and communication redundancy. However,(More)