Towards Optimal Detection Range through Region Uncertainty in Binary Sensor Networks
Li Geng, Xinzhou Wei, Jiehui Zhang

This paper presents a novel scheme for determing the optimal detection range by minimizing the region uncertainty in Binary Sensor Networks. The Binary Sensor Network prevails the traditional Wireless Sensor Networkin the Internet of Things infrastructure due to its simplicity, where itssensor devicesprovide only binary decisions regarding whether a target was detected, that is, whether a target was within its detection range.The detection range of these sensor devices can usually be programmed and itdirectly affect thecoverage and the deployment of the network, as well as the positioning accuracy in target localization and tracking problems. In this paper, we propose a scheme that determines the optimal detection range by minimizing the region uncertainty. We investigate three different cases in which each sensor has one fixed threshold, two fixed thresholds, two correlatedthresholds, respectively.The optimization problem is formulized analytically andis then solved using numeric methods with simulations. The results show that the proposed method is feasible for achieving an optimal detection range of binary sensors.

Full Text: PDF     DOI: 10.15640/jcsit.v10n1a1