An Efficient Neighbour Discovery Scheme for Mobile WSN

Abstract

Mobile Low-Duty-Cycle Wireless Sensor Networks (MLDC-WSN) is a new type of WSN that has emerged in recent years. It can deploy nodes on moving objects, and use object mobility to capture a wide range of dynamic environmental information. It has diverse applications and have the ability of mobility and get into sleep for a long time. However, the mobility and sleeping features of MLDC-WSN nodes results in dynamic network topology changes, which restricts to quickly discover their neighbour nodes. Thus, the optimal distribution decision is not established by the nodes. To solve this problem, in this paper, a novel selectively proactive neighbour discovery (SPND) algorithm is proposed. The proposed algorithm enables the nodes when they wake up to search their neighbour nodes, which prevent the long-time waiting delay in the traditional passive neighbour discovery mechanism. Moreover, the proposed algorithm can further reduce the delay, and acquire accurate neighbour discovery results by quickly determining the next neighbour set at the next moment due to prediction of movement speed and distance of neighbours.