Energy Estimated Distributed Reactive Routing Algorithm in Wireless Sensor Network
Keywords:
Wireless Sensor Networks, Clustering, Network Lifetime, Energy Efficiency, Stable Election, EEDRRAbstract
—A wireless sensor nodes have critical battery backup used for sensing environment, processing data, routing and transmitting sensed data to the sink or base station. Many research have been proposed to enhance the battery backup and lifetime of sensor network. Data transmission consumes more energy as compared to processing and sensing. So an efficient routing algorithms is required to save battery power. After deploying a wireless sensor network, it works up to remaining battery power. To efficiently optimize the battery backup, several energy efficient routing algorithms are available. In this paper, energy estimated distributed reactive routing (EEDRR) algorithm is proposed where sensor nodes use reactive method. For cluster head selection in wireless sensor network, EEDRR uses a ratio of remaining current energy to the initial energy. We compare the simulation results of proposed algorithm EEDRR with some modern algorithms such as DEEC, DDEEC, EDEEC and EDDEEC. Result presents that the performance of proposed algorithm have better energy efficiency and higher throughput as compared to other algorithms.
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