Novel technique for data aggregation in wireless sensor networks

Abstract

Today sensors are available everywhere in our vehicles, in our Smartphone, in factory or even in our homes. Sensors are generally powered by batteries with limited life times, so achieving energy efficient wireless sensor network (WSN) is very important and critical issue. However, Data aggregation is one of the techniques to conserve energy by eliminating redundant data transmission in WSN. Previously, data aggregation techniques such as free structure aggregation and source based data aggregation gave rise to high message overhead and redundancy respectively in the sensor field. Furthermore, in dynamic situation the frequent data and overhead exceeded the limit. Here, we propose a framework for aggregation for wireless sensor network based on heuristic tree formation with realistic assumptions for sensing priority and distributed nature. So the proposed aggregation tree is named, Semi Distributed Heuristic Energy efficient Aggregation Tree algorithm for wireless sensor networks (SDHEAT). Based on Simulation results, we present a detailed analysis of the Residual energy, lifetime and end-to-end delay in comparison with two heuristic algorithms considered currently for data aggregation in WSN namely, AEESPAN as a source based tree aggregation and Virtual Force Data Aggregation (VFG) as a free topology aggregation technique. We anticipate our method to be a starting point for more sophisticated models of wireless sensor networks like VANET and IOT.