China Post-Doctoral Science Foundation under Grant 2014M560334 and Grant 2015T80433, in part by the National Natural Science Foundation of China under Grant U1534201, Grant 61501023, Grant 61303202, and Grant U1334202, in part by the Fundamental Research Funds for the Central Universities under Grant 2015RC032, and in part by the State Key Laboratory of Rail Traffic Control and Safety under Grant RCS2015K011.
This paper investigates the adaptive barrier coverage system in wireless sensor networks, where multiple mobile sensor nodes collaboratively move based on cloud computing. This system aims to adaptively maintain a barrier coverage surrounding a dynamic zone, such as nuclear leakage area and toxic gas area. Since such a zone is usually dangerous and invisible, it is necessary to monitor and track its boundary for detecting unwanted people nearby and warning them. Existing studies on mobile barrier coverage mainly focus on static zones, which cannot directly apply into dynamic zones because their movement strategies are not flexible with dynamics. To address such a problem, we propose a novel adaptive barrier coverage system. The challenge is to effectively maintain the barrier when the change of dynamic zone is unpredictable. The proposed system leverages the software defined concept, in which the mobile sensor nodes execute the local sensing tasks and the cloud computes the real-time optimal strategy to control the movements of nodes. Extensive simulations based on large-scale real trace demonstrate the efficiency and the efficacy of the proposed system.