Saturday 23rd of September 2017
 

An Energy Efficient Data Redundancy Reduction Approach for Data Aggregation in WSN


Bharathi M A, B P Vijayakumar and D H Manjaiah

WSN has the potentiality to join the physical world with the virtual world by creating a network of sensor nodes. Here, sensor nodes are usually battery-operated devices, and hence energy reduction of sensor nodes is a major design issue. To extend the network‘s lifetime, minimization of energy consumption should be used. In cluster-based routing, cluster heads shape a wireless stamina to the sink. Each cluster heads collects data starting from the sensors belonging to its cluster and relay it to the sink. Here, the cluster head position rotates, i.e., each node works as a cluster head for a restricted period of time. Energy saving in BFOA approaches can be done by cluster formation, cluster-head election, data collection at the cluster-head nodes to reduce data redundancy and thus save energy and also to improve energy efficiency of homogeneous WSN. It also defines Bacterial Foraging Optimization Algorithm (BFOA) as an algorithm for selecting best cluster head selection for WSN. The simulation results enhanced performance of BFA based on total energy dissipation and no .of .alive nodes of the network when compared with LEACH.

Keywords: BFOA,Chemotaxis,Swarming,Tumbling

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ABOUT THE AUTHORS

Bharathi M A
Assoc.Prof, Dept of CSE, RevaITM, Bangalore

B P Vijayakumar
HOD Dept of ISE, MSRIT Bangalore

D H Manjaiah
Prof, Dpet of CSE Mangalore Univeristy, Mangalore


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