Distributed Movement Control for Building a Ring in Mobile Wireless Sensor Networks

Abstract

Many applications in wireless sensor networks require some sensors to form a ring or multiring-based shape in the target area, such as intrusion detection, border surveillance, routing overlay formation, and network full coverage. In this paper, we study the problem of sensor redistribution to build a ring-based shape for mobile sensor networks. We first give the theoretical analysis on what is optimal sensor movement with the given random deployment. Then, we propose a fully distributed movement control algorithm to achieve ring-based shape for mobile sensor networks. We formally prove that our algorithm can achieve a ring-based distribution within finite time. We also present the procedures of applying our algorithm to form multiring-based distribution. Finally, we present extensive simulations to verify that our approach outperforms other schemes in terms of both the moving distance and convergence time.

Clustering for Cooperative MIMO Cognitive Radio Sensor Networks under Interference Constraints

“…6 shows a 3D plot of the energy consumption as a function of the interference threshold and transmission distance. For large interference thresholds, the total energy consumption is increasing dramatically with distance as in [8]. When the distance increase further, there will be no mode supporting such transmission and the packet is dropped (energy consumption =0).…”

“…Such criterion is so called cooperative techniques or cooperative MIMO (CMIMO). In [8], [9], the work is based on how to integrate CMIMO with WSN. This issue has been investigated well and studying which transmission mode that should be used to minimize energy consumption in a multi hop system was subject of these papers.…”

“…WSN and CMIMO technology are discussed in [8]. The authors introduced several transmission modes and the total energy equations for different transmission modes were derived.…”