Greedy Random Walk Based Mobile-Sink-Location Privacy in Wireless Sensor Networks

摘要：

As wide applications of wireless sensor networks, privacy concerns have emerged as the main obstacle to success. When wireless sensor networks are used to battlefield, the privacy about sink-locations become a crux issue. If sink location will be exposed to adversary, the consequence is inconceivable. Random data collection scheme has a problem that message latencies become larger higher for protecting mobilesink- location privacy. In this paper, GROW (Greedy Random Walk) is proposed to preserve mobile-sinklocation privacy. In GROW, data are forwarded and stored at pass nodes in the network, the sink move in greedy random-walk to collect data from the local nodes occasionally, which prevents the attackers from predicting their locations and movements. Compared to random data collection scheme, GROW has smaller message latencies, while providing satisfactory mobile-sink-location privacy.

关键词： Mobile Sinks Privacy Location Privacy Greedy Random Walk Wireless Sensor Networks

作者: Jianbo Yao

作者单位: Department of Computer Science, Zunyi Normal College, Zunyi , China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 212-214

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）