Distributed Barrier Coverage in Wireless Visual Sensor Networks With $\beta$-QoM

Abstract

Wireless visual sensor networks (WVSNs) can not only provide monitoring functions like wireless sensor networks but also capture images of the monitored area. This is why the barrier coverage problem in WVSNs has received attention from many researchers. However, previous research of barrier coverage did not consider breadth of coverage, i.e., the width of collected images. In this paper, we consider breadth to increase the quality of monitor (QoM) of WVSNs. For WVSNs consisting of camera sensors without rotation capability, we propose an algorithm called basic distributed β-breadth belt-barrier construction algorithm without rotation (D-TriB). D-TriB constructs a belt-barrier with β breadth to offer β level of QoM, we call β-QoM. For WVSNs consisting of camera sensors with rotation capability, we propose the enhanced distributed β -breadth belt-barrier construction algorithm with rotation (D-TriBR). The proposed algorithms can not only reduce the number of camera sensors required to construct a barrier but also ensure that any barrier with β-QoM in the network can be identified. Finally, the successful rate of the proposed algorithms under different conditions, including β requirement, sensor distribution, and rotation capability, is also evaluated through simulations.