A cognitive radio approach for data collection in border surveillance
Yueshi Wu, Mihaela Cardei · 2016
Border surveillance has many applications in national security, infrastructure security, habitat monitoring, detecting illegal trespasses, military applications, and so on. This topic has received an increased attention recently. Sensing coverage and reliable data transmission are critical aspects in border surveillance using wireless sensor networks. In this paper we propose RMA-BS, a cognitive radio data collection scheme for border surveillance applications. RMA-BS aims to assign radios of neighboring monitoring sensors to different transmission channels, thus reducing interference and increasing network throughput and data delivery rate. RMA-BS is robust to the presence of a primary user or a signal jamming attack. We analyze the performance of our algorithm using ns-3 simulations.