Article

Decentralized, adaptive resource allocation for sensor networks

Authors:

Geoffrey Mainland,

David C. Parkes,

Matt WelshAuthors Info & Claims

NSDI'05: Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2

Pages 315 - 328

Published: 02 May 2005 Publication History

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Abstract

This paper addresses the problem of resource allocation in sensor networks. We are concerned with how to allocate limited energy, radio bandwidth, and other resources to maximize the value of each node's contribution to the network. Sensor networks present a novel resource allocation challenge: given extremely limited resources, varying node capabilities, and changing network conditions, how can one achieve efficient global behavior? Currently, this is accomplished by carefully tuning the behavior of the low-level sensor program to accomplish some global task, such as distributed event detection or in-network data aggregation. This manual tuning is difficult, error-prone, and typically does not consider network dynamics such as energy depletion caused by bursty communication patterns.

We present Self-Organizing Resource Allocation (SORA), a new approach for achieving efficient resource allocation in sensor networks. Rather than manually tuning sensor resource usage, SORA defines a virtual market in which nodes sell goods (such as sensor readings or data aggregates) in response to prices that are established by the programmer. Nodes take actions to maximize their profit, subject to energy budget constraints. Nodes individually adapt their operation over time in response to feedback from payments, using reinforcement learning. The behavior of the network is determined by the price for each good, rather than by directly specifying local node programs.

SORA provides a useful set of primitives for controlling the aggregate behavior of sensor networks despite variance of individual nodes. We present the SORA paradigm and a sensor network vehicle tracking application based on this design, as well as an extensive evaluation demonstrating that SORA realizes an efficient allocation of network resources that adapts to changing network conditions.

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Decentralized, adaptive resource allocation for sensor networks

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NSDI'05: Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2

May 2005

356 pages

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United States

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Published: 02 May 2005

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https://dl.acm.org/doi/10.1007/s00607-016-0531-8
Saeed AAmmar MHarras KZegura ELane N(2015)VisionProceedings of the 6th International Workshop on Mobile Cloud Computing and Services10.1145/2802130.2802133(23-27)Online publication date: 11-Sep-2015
https://dl.acm.org/doi/10.1145/2802130.2802133
Shin PPark JKak A(2014)A predictive duty cycle adaptation framework using augmented sensing for wireless camera networksACM Transactions on Sensor Networks10.1145/253028010:2(1-31)Online publication date: 31-Jan-2014
https://dl.acm.org/doi/10.1145/2530280
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