GMAC: Group mobility adaptive clustering scheme for Mobile Wireless Sensor Networks

Abstract

Recently, with the emergence of MWSNs utilization in different applications, some real-world situations, such as large-scale military networks and search-and-rescue operations, consider that sensor nodes move together in groups. To approximate the simulation of such applications to the reality, group mobility models are required. In this paper, we propose a group mobility adaptive clustering scheme (GMAC) for mobile WSN based on a new group mobility metric Mobility Group, which use network topology information and a position predictor to determine if nodes move together or separately. In GMAC, the area of interest is divided in equal zones, and each sensor calculates its weight based on Mobility Group and residual energy. The sensor node with the greatest weight in its zone will become the cluster-head. Using RPGM mobility model we have performed simulations to illustrate the benefits of our proposal comparing to ACE-L and LEACH. Obtained results show that GMAC outperforms ACE-L and LEACH in terms of energy consumption and the amount of data packets received at the sink.