@inproceedings{56d05012645c4205b60c777e6bf2867a,
title = "REMAX: Reachability-Maximizing P2P Detection of Erroneous Readings in Wireless Sensor Networks",
abstract = "Wireless sensor networks (WSNs) should collect accurate readings to reliably capture an environment's state. However, readings may become erroneous because of sensor hardware failures or degradation. In remote deployments, centrally detecting those reading errors can result in many message transmissions, which in turn dramatically decreases sensor battery life. In this paper, we address this issue through three main contributions. First, we propose REMAX, a peer-to-peer (P2P) error detection protocol that extends the WSN's life by minimizing message transmissions. Second, we propose a low-overhead error detection approach that helps minimize communication complexity. Third, we evaluate our approach via a trace-driven, discrete-event simulator, using two datasets from real WSN deployments that measure indoor air temperature and seismic wave amplitude. Our results show that REMAX can accurately detect errors and extend the WSN's reachability (effective lifetime) compared to the centralized approach.",
keywords = "WSN, anomaly, bivariate, detection, efficient, energy, error, isocontour, message, networks, optimal, reachability, sensor, transmission, wireless",
author = "Krishna, {Varun Badrinath} and Michael Rausch and Ujcich, {Benjamin E.} and Indranil Gupta and Sanders, {William H.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
month = aug,
day = "30",
doi = "10.1109/DSN.2017.52",
language = "English (US)",
series = "Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "321--332",
booktitle = "Proceedings - 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2017",
address = "United States",
}