Performance Analysis of Power Optimization in MEMS based Wireless Sensor Network
Keywords:
Wireless Sensor Networks, Clustering, Energy Efficiency, Stable Election, Network LifetimeAbstract
—MEMS (Micro Electronics Mechanical System) based wireless sensor network has huge variety of applications and its vital battery power is utilized in sensing, processing, routing and transmitting data to the base station. For efficient utilization of battery power, several techniques were proposed to enhance the lifetime of the wireless sensor network. Once wireless sensor network is deployed, battery recharge or replacement is not possible for human and wireless sensor network works until battery power of the entire sensor node get die. Modern routing protocols use their own algorithm for energy efficiency as they use probability based cluster head selection, as a result, the nodes having low battery power may be selected as cluster head and the nodes having high battery power may not be selected as cluster head. This creates unbalancing condition in wireless sensor network for network lifetime enhancement point of view. To address this limitation, we proposed our Power Optimization in MEMS Wireless Sensor Network which uses the concepts of energy level observation of nodes of cluster head selection. In this dissertation report, an innovative reactive routing protocol is proposed where sensor nodes have three different levels of energies. Proposed protocol uses ratio of current energy to initial energy for selection of cluster head in wireless sensor network. Simulation result shows that performance of our protocol gives significant energy efficiency and more network lifetime compared to other protocols.
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