Journal article

An intelligent task allocation scheme for multihop wireless networks

Y Jin, J Jin, A Gluhak, K Moessner, M Palaniswami

IEEE Transactions on Parallel and Distributed Systems | IEEE COMPUTER SOC | Published : 2012

Abstract

Emerging applications in Multihop Wireless Networks (MHWNs) require considerable processing power which often may be beyond the capability of individual nodes. Parallel processing provides a promising solution, which partitions a program into multiple small tasks and executes each task concurrently on independent nodes. However, multihop wireless communication is inevitable in such networks and it could have an adverse effect on distributed processing. In this paper, an adaptive intelligent task mapping together with a scheduling scheme based on a genetic algorithm is proposed to provide real-time guarantees. This solution enables efficient parallel processing in a way that only possible nod..

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University of Melbourne Researchers

Grants

Awarded by Seventh Framework Programme


Funding Acknowledgements

The authors would like to thank Mirko Presser and Serdar Vural for their assistance. This work was conducted with funding from the FP7 SENSEI Project, the Australian Research Council under Grant DP0985322, and ARC Research Networks on Intelligent Sensors, Sensor Networks and Information Processing.