Improved tabu search based energy efficient routing protocols for wireless sensor networks

Data aggregation at the bottom station with entity nodes act as the root for overflow of the information which consequences in peak power utilization. To diminish this dilemma a new data aggregation technique has been proposed called ERA which has improved the performance of the WSNs by using the group based data aggregation but even then it has some limitations. In order to overcome the drawbacks of previous work, a fresh improved technique is proposed in this paper. Principle improvement has been done by using the TABU search based optimization technique for energy efficient routing algorithm. Additionally the use of the compressive sensing also increases the performance further. The compressive sensing uses data fusion to remove redundant data from sensor nodes, so improves the results further. In the end to evaluate the effectiveness of the proposed technique further the effect of the scalability of number of nodes has also been considered. The comparisons have shown that the proposed technique performs much better than available ERA.