Modified Harmony Search Algorithm for Energy Optimization in WSN

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In wireless sensor network (WSN) the sensors are spread in a particular area for monitoring the certain events like environmental monitoring, medical monitoring, surveillance, security applications and many others. But the main concern is related to the lifetime of network that depends on the battery or energy unit of sensor nodes. Many algorithms are being developed to overcome this problem. One of fundamental and efficient method is clustering among those. The work reported herein investigates energy efficient algorithms for WSN. This paper proposed modified Harmony Search Algorithm (HAS) for cluster head selection in WSN, which is seen to provide better performance than direct transmission, fundamental clustering protocol Low Energy Adaptive Clustering Hierarchy (LEACH), and Harmony Search Algorithm (HSA). The performance metrics like network lifetime, throughput and total energy consumption have been analysed and compared for the above mentioned algorithms.
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Cluster Head (CH); Base Station (BS); Low Energy Adaptive Clustering Hierarchy (LEACH); Harmony Search Algorithm (HSA); Heuristic Algorithms

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