research-article

Sensor Mission Assignment in Rechargeable Wireless Sensor Networks

Authors:

Thomas La Porta,

Chiara Petrioli,

Cynthia Phillips,

Dora SpenzaAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 10, Issue 4

Article No.: 60, Pages 1 - 39

https://doi.org/10.1145/2594791

Published: 01 June 2014 Publication History

Abstract

Sensor mission assignment involves matching the sensing resources of a wireless sensor network (WSN) to appropriate tasks (missions), which may come to the network dynamically. Although solutions for WSNs with battery-operated nodes have been proposed for this problem, no attention has been given to networks whose nodes have energy-harvesting capabilities and are powered in part by uncontrollable environmental sources, which impose quite a different energy model. In this article we address this problem by providing both an analytical model and a distributed heuristic, called EN-MASSE, specifically tailored for energy-harvesting mission-centric WSNs. To assess the performance of our proposed solution we have interfaced TelosB nodes with solar cells and performed extensive experiments to derive models and traces of solar energy acquisition. We use such real-life traces in our simulations. A comparative performance evaluation between EN-MASSE and other schemes previously proposed in the literature has shown that our solution significantly outperforms existing energy-harvesting-unaware mission assignment schemes. Moreover, using our analytical model as a benchmark, we also show that the profit earned by EN-MASSE is close to the optimum. Finally, we have implemented our proposed solution in TinyOS and experimentally validated its performance, showing the effectiveness of our approach.

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Index Terms

Sensor Mission Assignment in Rechargeable Wireless Sensor Networks
1. Networks
  1. Network architectures

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 10, Issue 4

June 2014

480 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/2633905

Issue’s Table of Contents

Copyright © 2014 Public Domain.

This paper is authored by an employee(s) of the United States Government and is in the public domain. Non-exclusive copying or redistribution is allowed, provided that the article citation is given and the authors and agency are clearly identified as its source.

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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 01 June 2014

Accepted: 01 July 2013

Revised: 01 July 2013

Received: 01 March 2012

Published in TOSN Volume 10, Issue 4

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Zhang LChin K(2024)VNF Scheduling and Sampling Rate Maximization in Energy Harvesting IoT NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2024.344280923:12(14441-14458)Online publication date: 1-Dec-2024
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https://doi.org/10.1109/JIOT.2023.3292260
Yao BGao HZhang YWang JLi J(2023)Maximum AoI Minimization for Target Monitoring in Battery-Free Wireless Sensor NetworksIEEE Transactions on Mobile Computing10.1109/TMC.2022.316197522:8(4754-4772)Online publication date: 1-Aug-2023
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