Analysis of Intruder Detection Probability of a Mobile Sensor Network in a Belt Region

Abstract

A belt region can be used to describe a border area, which has the characteristic as a long strip area. Intruders may want to trespass this region without authorization. To prevent this illegal border crossing, a mobile sensor network can be deployed in the region. Mobile sensors can move throughout a region looking for an intruder, while the number of mobile sensor nodes can be kept at the minimum. However, there are some design factors that impact the intruder detection probability of a mobile sensor network. These factors are environment model, intruder arrivals, intruder mobility, sensing capability of a sensor node, and sensor selection mechanism. By understanding the impacts of these factors to the intruder detection probability, a mobile sensor network can be designed for better performance. This paper presents a decent method to derive the intruder detection probability and analyzes the effects of the design factors to the intruder detection probability. The result will guide the way to design a mobile sensor network in a belt region with improved intruder detection probability.