Article

Exposure in wireless Ad-Hoc sensor networks

Authors:

Seapahn Meguerdichian,

Farinaz Koushanfar,

Miodrag PotkonjakAuthors Info & Claims

MobiCom '01: Proceedings of the 7th annual international conference on Mobile computing and networking

Pages 139 - 150

https://doi.org/10.1145/381677.381691

Published: 16 July 2001 Publication History

Abstract

Wireless ad-hoc sensor networks will provide one of the missing connections between the Internet and the physical world. One of the fundamental problems in sensor networks is the calculation of coverage. Exposure is directly related to coverage in that it is a measure of how well an object, moving on an arbitrary path, can be observed by the sensor network over a period of time.

In addition to the informal definition, we formally define exposure and study its properties. We have developed an efficient and effective algorithm for exposure calculation in sensor networks, specifically for finding minimal exposure paths. The minimal exposure path provides valuable information about the worst case exposure-based coverage in sensor networks. The algorithm works for any given distribution of sensors, sensor and intensity models, and characteristics of the network. It provides an unbounded level of accuracy as a function of run time and storage. We provide an extensive collection of experimental results and study the scaling behavior of exposure and the proposed algorithm for its calculation.

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https://doi.org/10.3390/s25051366
Zhang HZheng RZhang SLiu M(2024)A Fully Distributed, Air-Ground Coordinated Coverage Control for Multi-Robot Systems with Limited Sensing Range2024 American Control Conference (ACC)10.23919/ACC60939.2024.10644629(1825-1830)Online publication date: 10-Jul-2024
https://doi.org/10.23919/ACC60939.2024.10644629
Mahfouz AIsmail AEl Sobky WNasry H(2023)A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebraEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02301-z2023:1Online publication date: 19-Sep-2023
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Index Terms

Exposure in wireless Ad-Hoc sensor networks
1. Computer systems organization
  1. Architectures
    1. Parallel architectures
      1. Cellular architectures
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

MobiCom '01: Proceedings of the 7th annual international conference on Mobile computing and networking

July 2001

356 pages

ISBN:1581134223

DOI:10.1145/381677

Chairman:
Christopher Rose
Rutgers Univ.

Copyright © 2001 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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Published: 16 July 2001

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MobiCom '01 Paper Acceptance Rate 30 of 281 submissions, 11%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

Lu ZWang CWang PXu W(2025)3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional NodesSensors10.3390/s2505136625:5(1366)Online publication date: 23-Feb-2025
https://doi.org/10.3390/s25051366
Zhang HZheng RZhang SLiu M(2024)A Fully Distributed, Air-Ground Coordinated Coverage Control for Multi-Robot Systems with Limited Sensing Range2024 American Control Conference (ACC)10.23919/ACC60939.2024.10644629(1825-1830)Online publication date: 10-Jul-2024
https://doi.org/10.23919/ACC60939.2024.10644629
Mahfouz AIsmail AEl Sobky WNasry H(2023)A novel model for representing a plane target and finding the worst-case coverage in wireless sensor network based on Clifford algebraEURASIP Journal on Wireless Communications and Networking10.1186/s13638-023-02301-z2023:1Online publication date: 19-Sep-2023
https://dl.acm.org/doi/10.1186/s13638-023-02301-z
Neto ACampos VMacharet D(2023)Minimal Exposure Escape Path ProblemIEEE Transactions on Industrial Informatics10.1109/TII.2023.3336354(1-9)Online publication date: 2023
https://doi.org/10.1109/TII.2023.3336354
Yengejeh AAsghar ASmith S(2023)Distributed Multirobot Coverage Control of Nonconvex Environments With GuaranteesIEEE Transactions on Control of Network Systems10.1109/TCNS.2022.321032810:2(796-808)Online publication date: Jun-2023
https://doi.org/10.1109/TCNS.2022.3210328
Neto ACampos VMacharet D(2023)Minimal Exposure Paths in Time-Varying Fields: A Semi-Lagrangian ApproachIEEE Robotics and Automation Letters10.1109/LRA.2022.32305958:2(664-671)Online publication date: Feb-2023
https://doi.org/10.1109/LRA.2022.3230595
Trohak ABenotsmane R(2023)How to DIY a wireless sensor node? - Case study on a node development2023 24th International Carpathian Control Conference (ICCC)10.1109/ICCC57093.2023.10178911(105-109)Online publication date: 12-Jun-2023
https://doi.org/10.1109/ICCC57093.2023.10178911
Ahmad IRahman TZeb AKhan IOthman MHamam H(2022)Cooperative Energy-Efficient Routing Protocol for Underwater Wireless Sensor NetworksSensors10.3390/s2218694522:18(6945)Online publication date: 14-Sep-2022
https://doi.org/10.3390/s22186945
Ye MCai YQiu HWang JDeng X(2022)A Hybrid Artificial Bee Colony Algorithm to Solve a New Minimum Exposure Path Problem with Various Boundary Conditions for Wireless Sensor NetworksInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800142159056436:02Online publication date: 2-Mar-2022
https://doi.org/10.1142/S0218001421590564
Mahfouz AIsmail ANasry HElsobky W(2022)Path Detection for A Moving Target in Wireless Sensor Network Based on Clifford Algebra2022 International Telecommunications Conference (ITC-Egypt)10.1109/ITC-Egypt55520.2022.9855765(1-5)Online publication date: 26-Jul-2022
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