NDLI: An optimal resource control scheme under fidelity and energy constraints in sensor networks

Content Provider	Springer Nature Link
Author	Kang, Jaewon Zhang, Yanyong Nath, Badri
Copyright Year	2007
Abstract	To control congestion, either the traffic from sources should be “reduced” (traffic controlling) or the available resources should be “increased” (resource controlling). Compared to the wired and other wireless counterparts, wireless sensor networks usually have elastic resource availability, and the applications require a certain level of throughput called fidelity. As a result, resource control strategies cannot only alleviate congestion but also ensure the required fidelity level during congestion by accommodating higher incoming traffic. In this paper, we first attempt to formally define the resource control framework that adjusts the resource provisioning at the hotspot nodes during congestion. In an effort to find the optimal resource control under the fidelity and energy constraints, we present a resource increase and decrease algorithm called Early Increase/Early Decrease (EIED) that tries to adjust the effective channel capacity quickly to suit the incoming traffic volume in an energy-efficient manner, thereby increasing the fidelity level observed by the application. Under the energy-constrained optimization, we prove this algorithm incurs the lowest overhead of energy consumption for the given fidelity level that is required by the application. We also prove that the EIED algorithm performed in a distributed manner also lowers the energy consumption per packet at an end-to-end level. The effectiveness of the EIED algorithm is verified by simulations based on realistic sensor network configurations.
Starting Page	497
Ending Page	512
Page Count	16
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	15
Issue Number	4
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2007-09-11
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Congestion control Sensor networks Resource control Fidelity Energy efficiency Business Information Systems Electrical Engineering Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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