Energy-aware hybrid optimisation algorithm for wireless sensor networks

The wireless sensor networks, incorporated with very minute, autonomous, highly mobile senor nodes that are powered by battery, has greatly influenced the researchers and has become a promising network in gathering information through sensing in a wide spread range of applications and the areas that are inaccessible to humans. The framing of routing as a counter measure for the challenges incurred in the WSN is once again more arduous and strenuous. The stochastic and the discrete algorithm developed for the cluster head selection with the aim of minimising the energy consumption, resulted with the maximisation of the delay and losses caused by the minimised network lifetime as they faced difficulties in the selection of the head that is optimal, so the paper puts forward an hybrid optimisation algorithm, clubbing the glow-worm and the fruit-fly for selection of the cluster head and further proceeds with the routing using the simple fuzzy rule-based system for enhancing the network lifetime and energy consumption, further improving the quality of the service. The result analysis is performed in the network simulator to evince the performance and the QOS enhancements attained through the proposed system.