Article

ESRT: event-to-sink reliable transport in wireless sensor networks

Authors:

Yogesh Sankarasubramaniam,

Özgür B. Akan,

Ian F. AkyildizAuthors Info & Claims

MobiHoc '03: Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing

Pages 177 - 188

https://doi.org/10.1145/778415.778437

Published: 01 June 2003 Publication History

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Abstract

Wireless sensor networks (WSN) are event based systems that rely on the collective effort of several microsensor nodes. Reliable event detection at the sink is based on collective information provided by source nodes and not on any individual report. Hence, conventional end-to-end reliability definitions and solutions are inapplicable in the WSN regime and would only lead to a waste of scarce sensor resources. However, the absence of reliable transport altogether can seriously impair event detection. Hence, the WSN paradigm necessitates a collective phevent-to-sink reliability notion rather than the traditional end-to-end notion. To the best of our knowledge, reliable transport in WSN has not been studied from this perspective before.In order to address this need, a new reliable transport scheme for WSN, the event-to-sink reliable transport (ESRT) protocol, is presented in this paper. ESRT is a novel transport solution developed to achieve reliable event detection in WSN with minimum energy expenditure. It includes a congestion control component that serves the dual purpose of achieving reliability and conserving energy. Importantly, the algorithms of ESRT mainly run on the sink, with minimal functionality required at resource constrained sensor nodes. ESRT protocol operation is determined by the current network state based on the reliability achieved and congestion condition in the network. If the event-to-sink reliability is lower than required, ESRT adjusts the reporting frequency of source nodes aggressively in order to reach the target reliability level as soon as possible. If the reliability is higher than required, then ESRT reduces the reporting frequency conservatively in order to conserve energy while still maintaining reliability. This self-configuring nature of ESRT makes it robust to random, dynamic topology in WSN. Analytical performance evaluation and simulation results show that ESRT converges to the desired reliability with minimum energy expenditure, starting from any initial network state.

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Chakrabarty NSullivan KLopes da Silva D(2024)Time-based redeployment of multi-class nodes for reliable wireless sensor network coverageComputers & Industrial Engineering10.1016/j.cie.2024.110549197(110549)Online publication date: Nov-2024
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Index Terms

ESRT: event-to-sink reliable transport in wireless sensor networks
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

MobiHoc '03: Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing

June 2003

324 pages

ISBN:1581136846

DOI:10.1145/778415

General Chair:
Mario Gerla
University of California, Los Angeles
,
Program Chairs:
Anthony Ephremides
University of Maryland, College Park
,
Mani Srivastava
University of California, Los Angeles

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2003

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MobiHoc03

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MobiHoc03: Fourth ACM Symposium on Mobile Ad Hoc Networking and Computing

June 1 - 3, 2003

Maryland, Annapolis, USA

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MobiHoc '03 Paper Acceptance Rate 27 of 192 submissions, 14%;

Overall Acceptance Rate 296 of 1,843 submissions, 16%

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https://doi.org/10.1109/IC3SE62002.2024.10593467
Chakrabarty NSullivan KLopes da Silva D(2024)Time-based redeployment of multi-class nodes for reliable wireless sensor network coverageComputers & Industrial Engineering10.1016/j.cie.2024.110549197(110549)Online publication date: Nov-2024
https://doi.org/10.1016/j.cie.2024.110549
Kumar ALobiyal D(2024)Congestion Management Techniques in WSNs: A Comparative StudyCryptology and Network Security with Machine Learning10.1007/978-981-97-0641-9_18(263-276)Online publication date: 23-Apr-2024
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Revathi ASanthi S(2023)Cluster-Based Congestion Avoidance and Data Aggregation Routing in Wireless Sensor NetworksComputational Intelligence10.1007/978-981-19-7346-8_28(325-339)Online publication date: 16-Feb-2023
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Revathi ASanthi S(2022)Gateway-Based Congestion Avoidance Using Two-Hop Node in Wireless Sensor NetworksMobile Computing and Sustainable Informatics10.1007/978-981-19-2069-1_2(17-32)Online publication date: 16-Jul-2022
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