An Efficient Clustering Scheme for Data Aggregation Considering Mobility in Mobile Wireless Sensor Networks

This paper presents an efficient clustering scheme for data aggregation considering mobility to reduce the network lifetime in Mobile Wireless Sensor Networks (MWSNs). In MWSNs, an accurate data aggregation is affected by failure in time-critical data transmission due to the differences of mobility between cluster head and its members. Consequently, selecting a node with dissimilar mobility from members as a cluster head can lead to unstable clustering. Hence, we propose a clustering scheme considering the mobility and energy to minimize the number of nodes that moves away from the current cluster head before the next cluster formation. The proposed scheme is processed in two-stages. During the first phase of clustering, all nodes calculate their potential score based on the similarity of movement, residual energy and density in distributed manner. Each node decides whether the node itself should be a cluster head or not using a potential score. The second stages, each node select its cluster head among those cluster head candidates considering the link connection time and an amount of energy to transmit the collected data. A higher residual energy node with the smallest movement deviation is selected as a cluster head. In addition to, we propose a mobility adaptive slot utilization to reduce the idle slot. The experimental result shows that the proposed scheme can provide an efficient data aggregation in terms of network lifetime and the number of nodes leaving its cluster head.