Analyzing criteria correlation for minimizing the energy consumption in WSN
Proceedings of the X Metaheuristics International Conference (MIC) Singapore
A Wireless Sensor Network (WSN) is an effective tool to gather data on an area. However, its lifetime is often an issue due to the limited battery installed on each sensor. Several works have addressed the optimization of the lifetime with two main criteria: minimizing the number of clusters or minimizing the highest energy consumed by a sensor. We propose to analyze the correlation between these criteria. First by defining an energy consumption model which depends on the energy consumed for each activity (sensing, sending a message, receiving a message and processing data). Then, a bi-objective formulation is proposed and the Pareto front is computed by using a NSGA-II evolutionary algorithm and a simulated annealing. Preliminary results seem to show those criteria are correlated on a set of instances and under the current energy consumption scenario.