Utility-based Adaptation in Mission-oriented Wireless Sensor Networks

This paper extends the distributed network utility maximization (NUM) framework to consider the case of resource sharing by multiple competing missions in a military-centric wireless sensor network (WSN) environment. Prior work on NUM-based optimization has considered unicast flows with sender-based...

Full description

Saved in:
Bibliographic Details
Main Authors: ESWARAN, Sharanya, MISRA, Archan, LA PORTA, Thomas
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/675
https://ink.library.smu.edu.sg/context/sis_research/article/1674/viewcontent/UtilityBasedAdaptationMission_2008.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-1674
record_format dspace
spelling sg-smu-ink.sis_research-16742017-11-03T08:42:54Z Utility-based Adaptation in Mission-oriented Wireless Sensor Networks ESWARAN, Sharanya MISRA, Archan LA PORTA, Thomas This paper extends the distributed network utility maximization (NUM) framework to consider the case of resource sharing by multiple competing missions in a military-centric wireless sensor network (WSN) environment. Prior work on NUM-based optimization has considered unicast flows with sender-based utilities in either wireline or wireless networks. We extend the NUM framework to consider three key new features observed in mission-centric WSN environments: i) the definition of an individual mission's utility as a joint function of data from multiple sensor sources ii) the consumption of each senders (sensor) data by multiple receivers (missions) and iii) the multicast-tree based dissemination of each sensors data flow, using link-layer broadcasts to exploit the "wireless broadcast advantage" in data forwarding. We show how a receiver-centric, pricing-based, decentralized algorithm can ensure optimal and proportionally-fair rate allocation across the multiple missions, without requiring any coordination among independent missions (or sensors). We also discuss techniques to improve the speed of convergence of the protocol, which is essential in an environment as dynamic as the WSN. 2008-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/675 info:doi/10.1109/SAHCN.2008.42 https://ink.library.smu.edu.sg/context/sis_research/article/1674/viewcontent/UtilityBasedAdaptationMission_2008.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Ad hoc networks Computer networks Hybrid sensors Optimization Routing protocols Sensor networks Sensors Trees (mathematics) Wireless networks Wireless telecommunication systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Ad hoc networks
Computer networks
Hybrid sensors
Optimization
Routing protocols
Sensor networks
Sensors
Trees (mathematics)
Wireless networks
Wireless telecommunication systems
Software Engineering
spellingShingle Ad hoc networks
Computer networks
Hybrid sensors
Optimization
Routing protocols
Sensor networks
Sensors
Trees (mathematics)
Wireless networks
Wireless telecommunication systems
Software Engineering
ESWARAN, Sharanya
MISRA, Archan
LA PORTA, Thomas
Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
description This paper extends the distributed network utility maximization (NUM) framework to consider the case of resource sharing by multiple competing missions in a military-centric wireless sensor network (WSN) environment. Prior work on NUM-based optimization has considered unicast flows with sender-based utilities in either wireline or wireless networks. We extend the NUM framework to consider three key new features observed in mission-centric WSN environments: i) the definition of an individual mission's utility as a joint function of data from multiple sensor sources ii) the consumption of each senders (sensor) data by multiple receivers (missions) and iii) the multicast-tree based dissemination of each sensors data flow, using link-layer broadcasts to exploit the "wireless broadcast advantage" in data forwarding. We show how a receiver-centric, pricing-based, decentralized algorithm can ensure optimal and proportionally-fair rate allocation across the multiple missions, without requiring any coordination among independent missions (or sensors). We also discuss techniques to improve the speed of convergence of the protocol, which is essential in an environment as dynamic as the WSN.
format text
author ESWARAN, Sharanya
MISRA, Archan
LA PORTA, Thomas
author_facet ESWARAN, Sharanya
MISRA, Archan
LA PORTA, Thomas
author_sort ESWARAN, Sharanya
title Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
title_short Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
title_full Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
title_fullStr Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
title_full_unstemmed Utility-based Adaptation in Mission-oriented Wireless Sensor Networks
title_sort utility-based adaptation in mission-oriented wireless sensor networks
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/675
https://ink.library.smu.edu.sg/context/sis_research/article/1674/viewcontent/UtilityBasedAdaptationMission_2008.pdf
_version_ 1770570658778972160