Energy Efficient Routing Analysis Based On Energy Matrix And Convolution Filters In Wireless Sensor Network

Wireless Sensor Network is envisioned as an economically viable paradigm and a promising technology because of its ability to provide a variety of services, such as intrusion detection, weather monitoring, security, tactical surveillance, and disaster management. The services provided by wireless senor networks (WSNs) are based on collaboration among small energy-constrained sensor nodes. The large deployment of WSNs and the need for energy efficient strategy necessitate efficient organization of the network topology for the purpose of balancing the load and prolonging the network lifetime.The performance of the Wireless Sensor Networks (WSNs) is strongly affected by the limited capacity of the sensor nodes which form these networks. In fact, this limited capacity has a great influence on the lifetime of the wireless sensor networks. So an effective management of the consumed power of the nodes can increase the network lifetime. Various algorithms have been proposed to optimize the energy conservation. Most of these algorithms try to achieve this goal by focusing on energy efficient routing.In our work, we developed Youssef Yasser routing algorithms to route information while controlling energy consumption. We focused on centralization of his routing algorithm, in which the energy capacity of a wireless sensor network is represented as an image. Then we have used the matrix convolution filter and DSR routing protocol to carry on10simulation experiments. We set,with each simulation, four different delay time between sending two information packets for the objective to find the more economical energy path to minimize energy consumption in the entire network.The performance analyses of different delay time are given, and simulation results shows the energy effectiveness of our method...