Proceedings Article10.1109/EIT.2009.5189578
Market-based computational task assignment within autonomous wireless sensor networks
Andrew T. Zimmerman,Jerome P. Lynch,Frank Ferrese +2 more
- 07 Jun 2009
- pp 23-28
TL;DR: In this study, a Pareto-optimal market-based method is developed in order to autonomously distribute various computational tasks with competing objectives and/or resource demands across available network resources.
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Abstract: In recent years, improved wireless technologies have enabled the low-cost deployment of large numbers of sensors for a variety of applications across different engineering disciplines. Because of the computational resources (processing capability, storage capacity, etc.) distributed throughout these sensing networks, it is often possible to perform advanced data analysis tasks autonomously and in-network, eliminating the need for the post-processing of sensor data. With new parallel algorithms being developed for in-network computation, it has become necessary to create a framework in which the computational resources available throughout a wireless sensing network can be best utilized in the midst of competing computational requirements. In this study, a Pareto-optimal market-based method is developed in order to autonomously distribute various computational tasks with competing objectives and/or resource demands across available network resources. This method is experimentally validated on a network of wireless sensing prototypes.
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Citations
EdgeCEP: Fully-Distributed Complex Event Processing on IoT Edges
Sunyanan Choochotkaew,Hirozumi Yamaguchi,Teruo Higashino,Megumi Shibuya,Teruyuki Hasegawa +4 more
- 05 Jun 2017
TL;DR: A pseudo-source mechanism to cover a wide range of processing and obsolete prerequisite of source-specification at the same time, along with a brand-new event specification language defined to support relation-based processing are introduced.
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Market-Based Resource Allocation for Energy-Efficient Execution of Multiple Concurrent Applications in Wireless Sensor Networks
Mo Haghighi
- 01 Jan 2014
TL;DR: This paper will investigate the application of market-based algorithms for energy management, tasks allocation and resource coordination in WSNs with multiple concurrent applications, and propose a number of algorithms for calculating costs and utilities for multi-paradigm application requirements.
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