Article

Differentiated surveillance for sensor networks

Authors:

John A. StankovicAuthors Info & Claims

SenSys '03: Proceedings of the 1st international conference on Embedded networked sensor systems

Pages 51 - 62

https://doi.org/10.1145/958491.958498

Published: 05 November 2003 Publication History

Abstract

For many sensor network applications such as military surveillance, it is necessary to provide full sensing coverage to a security-sensitive area while at the same time minimizing energy consumption and extending system lifetime by leveraging the redundant deployment of sensor nodes. It is also preferable for the sensor network to provide differentiated surveillance service for various target areas with different degrees of security requirements. In this paper, we propose a differentiated surveillance service for sensor networks based on an adaptable energy-efficient sensing coverage protocol. In the protocol, each node is able to dynamically decide a schedule for itself to guarantee a certain degree of coverage (DOC) with average energy consumption inversely proportional to the node density. Several optimizations and extensions are proposed to provide even better performance. Simulation shows that our protocol accomplishes differentiated surveillance with low energy consumption. It outperforms other state-of-the-art schemes by as much as 50% reduction in energy consumption and as much as 130% increase in the half-life of the network.

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Cited By

Fahmy HFahmy H(2023)Cross-Layer Protocols for WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_6(345-412)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_6
Kumar ADhabliya DAgarwal PAneja NDadheech PJamal SAntwi O(2022)Cyber-Internet Security Framework to Conquer Energy-Related Attacks on the Internet of Things with Machine Learning TechniquesComputational Intelligence and Neuroscience10.1155/2022/88035862022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8803586
Manuel EPankajakshan V(2022)Performance Analysis of Distributed Compressed Sensing Schemes for Data Aggregation in Low-Power Wireless Sensor Networks2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS)10.1109/ICNGIS54955.2022.10079797(1-6)Online publication date: 29-Jul-2022
https://doi.org/10.1109/ICNGIS54955.2022.10079797
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Index Terms

Differentiated surveillance for sensor networks
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Published In

cover image ACM Conferences

SenSys '03: Proceedings of the 1st international conference on Embedded networked sensor systems

November 2003

356 pages

ISBN:1581137079

DOI:10.1145/958491

General Chairs:
Ian Akyildiz
Georgia Institute of Technology
,
Deborah Estrin
University of California, Los Angeles
,
Program Chairs:
David Culler
University of California, Berkeley
,
Mani Srivastava
University of California, Los Angeles

Copyright © 2003 ACM.

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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Publication History

Published: 05 November 2003

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SenSys03

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SenSys03: The First ACM Conference on Embedded Networked

November 5 - 7, 2003

California, Los Angeles, USA

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SenSys '03 Paper Acceptance Rate 24 of 137 submissions, 18%;

Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

Fahmy HFahmy H(2023)Cross-Layer Protocols for WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_6(345-412)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-3-031-20709-9_6
Kumar ADhabliya DAgarwal PAneja NDadheech PJamal SAntwi O(2022)Cyber-Internet Security Framework to Conquer Energy-Related Attacks on the Internet of Things with Machine Learning TechniquesComputational Intelligence and Neuroscience10.1155/2022/88035862022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8803586
Manuel EPankajakshan V(2022)Performance Analysis of Distributed Compressed Sensing Schemes for Data Aggregation in Low-Power Wireless Sensor Networks2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS)10.1109/ICNGIS54955.2022.10079797(1-6)Online publication date: 29-Jul-2022
https://doi.org/10.1109/ICNGIS54955.2022.10079797
Fahmy HFahmy H(2020)Cross-Layer Protocols for WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-030-58015-5_5(267-335)Online publication date: 25-Nov-2020
https://doi.org/10.1007/978-3-030-58015-5_5
Ru JJia ZYang YYu XWu CXu M(2019)A 3D Coverage Algorithm Based on Complex Surfaces for UAVs in Wireless Multimedia Sensor NetworksSensors10.3390/s1908190219:8(1902)Online publication date: 22-Apr-2019
https://doi.org/10.3390/s19081902
Vempaty A(2019)Hop-Count based Distance Estimation in Wireless Sensor Networks under Byzantine Attacks2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)10.1109/WiSPNET45539.2019.9032770(81-85)Online publication date: Mar-2019
https://doi.org/10.1109/WiSPNET45539.2019.9032770
Majid A(2019)Shadowing and Fading Environmental Effects on Lifetime Extension of Ad Hoc Wireless Networks2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)10.1109/ICECTA48151.2019.8959757(1-6)Online publication date: Nov-2019
https://doi.org/10.1109/ICECTA48151.2019.8959757
(2018)Rotation based coverage control algorithm and protocol for heterogeneous sensor networksInternational Journal of Sensor Networks10.1504/IJSNET.2018.09261627:2(117-127)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJSNET.2018.092616
Tabareau NTanter ÉSozeau M(2018)Equivalences for free: univalent parametricity for effective transportProceedings of the ACM on Programming Languages10.1145/32367872:ICFP(1-29)Online publication date: 30-Jul-2018
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Bračevac OAmin NSalvaneschi GErdweg SEugster PMezini M(2018)Versatile event correlation with algebraic effectsProceedings of the ACM on Programming Languages10.1145/32367622:ICFP(1-31)Online publication date: 30-Jul-2018
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