Bounds on coverage and target detection capabilities for models of networks of mobile sensors

Author:

Brass Peter1

Affiliation:

1. City College New York, New York, NY

Abstract

In this article we analyze the capabilities of various models of sensor networks with the Boolean sensing model for mobile or stationary sensors and targets, under random or optimal placement, independent or globally coordinated search, and stealthy or visible sensors. For each model we give an upper bound for the capabilities under any strategy, and a search strategy which at least asymptotically matches that bound. To ensure comparability of these models, we present them using the same parameters: the sensing radius r , sensor placement density λ, as well as the travel distance l of each sensor and d of the target. By this we obtain a complete analysis of the geometric coverage and detection capabilities of the various models of sensor networks, where we abstract from issues like communication and power management.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Reference34 articles.

1. Coverage, Exploration and Deployment by a Mobile Robot and Communication Network

2. Brass P. Moser W. O. J. and Pach J. 2005. Research Problems in Discrete Geometry. Springer. Brass P. Moser W. O. J. and Pach J. 2005. Research Problems in Discrete Geometry. Springer.

3. Cardei M. and Wu J. 2004. Coverage in wireless sensor networks. In Handbook of Sensor Networks M. Ilyas and I. Mahgoub eds. CRC Press Boca Raton FL. Cardei M. and Wu J. 2004. Coverage in wireless sensor networks. In Handbook of Sensor Networks M. Ilyas and I. Mahgoub eds. CRC Press Boca Raton FL.

4. Sensor deployment strategy for target detection

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Literature Survey on Event Detection for Indoor Environment Using Wireless Sensor Network;Communications in Computer and Information Science;2023-12-23

2. Probabilistic Detection of Indoor Events Using a Wireless Sensor Network-Based Mechanism;Sensors;2023-08-03

3. A Multi-Target Tracking and Detection Algorithm for Wireless Sensor Networks;International Journal of Circuits, Systems and Signal Processing;2021-07-20

4. Directivity in RF Sensor Networks for Widespread Spectrum Monitoring;IEEE Transactions on Cognitive Communications and Networking;2021

5. Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks;Advances in Intelligent Systems and Computing;2018-08-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3