Energy reduction techniques for multimedia applications with tolerance to deadline misses
Proceedings of the 40th annual Design Automation Conference
Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
Efficient Assignment and Scheduling for Heterogeneous DSP Systems
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the 3rd international conference on Embedded networked sensor systems
Real-time volcanic earthquake localization
Proceedings of the 4th international conference on Embedded networked sensor systems
Proceedings of the 4th international conference on Embedded networked sensor systems
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Sensor nodes usually work under dynamic changing, hard-to-predict environments and have limited lifetime. We use a novel adaptive online energy saving (AOES) algorithm to save total energy consumption for heterogeneous sensor networks. Due to the uncertainties in execution time of some tasks and multiple working mode of each node, this paper models each varied execution time as a probabilistic random variable to save energy by selecting the best mode assignment for each node, which is called Mode Assignment with Probability (MAP) problem. We propose an optimal sub-algorithm MAP_Opt to minimize the total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work.