NDLI: Low-overhead and high-accuracy failure detection method for wireless multi-hop ad hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Xin Di Zhaoyu Zhang Hongchun Li Chen Ao Jun Tian Ozaki, K. Yun Wen Fujita, H.
Copyright Year	2014
Description	Author affiliation: Fujitsu Labs. Ltd., Kawasaki, Japan (Ozaki, K.; Yun Wen; Fujita, H.) \|\| Fujitsu R&D Center Co., Ltd., Beijing, China (Xin Di; Zhaoyu Zhang; Hongchun Li; Chen Ao; Jun Tian)
Abstract	One serious challenge of wireless multi-hop ad hoc networks is frequent link and node failures due to lossy wireless channels and low-cost hardware. Failure detection plays an important role in network maintenance. In order to reduce communication overhead, local-based failure detection methods conduct diagnosis processes in a local area. However, the overhead of them is still very large because several redundant detection processes are triggered for one failure by several nodes. In this paper, we present a new failure detection approach named Root Node Reduction (RNR), which can reduce the number of detection processes by a backoff scheme. Furthermore, we propose two additional strategies to improve diagnosis accuracy, including multi fusion which guarantees complete evidence collection, and multi report which improves the reception ratio of diagnosis conclusion report. The comparison results show that the performance of communication overhead, diagnosis accuracy and data packet reception is improved by these schemes.
Starting Page	80
Ending Page	85
File Size	656197
Page Count	6
File Format	PDF
e-ISBN	9781479909599
DOI	10.1109/IWCMC.2014.6906336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-04
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Accuracy Simulation Spread spectrum communication Maintenance engineering Ad hoc networks Topology node failure link failure communication overhead wireless multi-hop ad hoc networks failure detection
Content Type	Text
Resource Type	Article

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