Home > Vol. 1, No. 1

International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1,  Number 1,  May 2009

Issue on Computer Science

Page(s): 6-10

Energy Efficient In-Network Data Processing in Sensor Networks

Prakash G L, Thejaswini M, S H Manjula, K R Venugopal, L M Patnaik

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Abstract

We assume a sensor network with data-centric storage, where sensor data is stored within the sensor network and adhoc queries are disseminated to and processed in the network. In such minimizing energy consumption has been a major objective at all levels in sensor networks. In this paper, we present an in-network aggregation scheme that maintains the user-specified quality of data requirement while significantly reducing the overall energy consumption. Specifically, since communication dominates power usage in sensor networks, in-network aggregation scheme exploits end-user temporal coherency tolerances to reduce the amount of information transmitted by individual nodes. Further, we show that in-network aggregation scheme, by using temporal coherency tolerances, can allow for better quality of data when the time given to perform readings is too short for all data to be propagated up through the network. We compare our proposed scheme against an existing in-network aggregation scheme with a local sensor cache. We present experimental results measuring both power savings and also the quality of data for group-by queries. These results show that in-network aggregation scheme can reduce power consumption without any loss in the quality of data and extend the life of the sensor network.

Index Terms

Aggregation, Energy Consumption, Query Plan, Network Lifetime

Published by Academy Publisher in cooperation with the ACEEE

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