On delay-minimized data harvesting with mobile elements in wireless sensor networks
Author:
Funder
NSF
DOE
ARO
ODDR& E MURI10 program
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference39 articles.
1. R. Moazzez-Estanjini, I.C. Paschalidis, Improved delay-minimized data harvesting with mobile elements in wireless sensor networks, in: Proceedings of the 9th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Princeton, New Jersey, 2011, pp. 49–54.
2. Data MULEs: modeling a three-tier architecture for sparse sensor networks;Shah;Elsevier Ad Hoc Networks Journal,2003
3. A. Chakrabarti, A. Sabharwal, B. Aazhang, Using predictable observer mobility for power efficient design of sensor networks, in: IPSN, 2003, pp. 129–145.
4. X. Li, A. Nayak, I. Stojmenovic, Exploiting actuator mobility for energy-efficient data collection in delay-tolerant wireless sensor networks, in: 2009 Fifth International Conference on Networking and Services, 2009, pp. 216–221.
5. W. Wang, V. Srinivasan, K. Chua, Using mobile relays to prolong the lifetime of wireless sensor networks, in: MobiCom, 2005, pp. 270–283.
Cited by 24 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. Safety Guaranteed Optimal Control Policy for Multi-agent Data Harvesting using a CLF-CBF approach;2023 American Control Conference (ACC);2023-05-31
2. Time Optimal Data Harvesting in Two Dimensions through Reinforcement Learning Without Engineered Reward Functions;2023 American Control Conference (ACC);2023-05-31
3. Control Policy Optimization for Data Harvesting in a Wireless Sensor Network;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
4. An Energy-Efficient Clustering with Mobile Sink and Rendezvous Nodes for Data Collection in IoT-based Wireless Sensor Networks;2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON);2022-11-11
5. Cooperative Sweep Coverage Problem With Mobile Sensors;IEEE Transactions on Mobile Computing;2022-02-01
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