Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks

—Mobile Wireless Sensor Networks (MWSNs) has significant applications that provide free moving for sensor nodes and flexible communication with each other. MWSNs perform many improvements in energy consumption, network lifetime, channel capacity than static WSNs. The need more sophisticated routing protocols WSNs due to the unfixed topology based on mobility. This paperpresents an Improved Mobility Genetic Algorithm Hierarchical Protocol (IMGAHP) handle packet delivery ratio problem MGAHP maximize stability period. proposed protocol is two main points. Firstly, utilizing optimization process (Genetic (GA)) detect optimum location of Cluster Heads (CHs) their numbers. Secondly, reassigning timeslots allocated which moved out cluster or didn’t have data send, registered secondary Time Division Multiple Access (TDMA) schedule new joined mobile nodes. Several experiments are implemented IMGAHP using Matlab simulation program appraise compare it other previous protocols. It shown from results gives preferable enhancement ratio, efficiency, lifetime all