A Fault Tolerance Based Data Aggregtion and Route Optimization Using Swarm Intelligence Approach in Wireless Sensor Networks
نویسندگان
چکیده
In the rapid increasing usage of wireless sensor networks, fault tolerance is an exigent task to improve the overall performance. In this work we made an attempt using artificial bee colony approach to find data aggregation with fault tolerance in WSN to make an effective use of the existing resources. In this paper it is tried to apply the performance of the Q-MST based fault tolerance mechanism with the existing ant colony algorithms for data aggregation in WSN. We applied Q-MST for fault tolerance purpose; Ant Colony algorithm and PRIMS algorithm are used for generating data aggregation tree (MST). The quadratic minimum spanning tree (QMST) is an improved version of minimum spanning tree where ordered pair cost of distinct edges would be considered for implementing an alternate edge for the existing edge failure in MST.
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