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ICC
2008
IEEE

Proactive Power Optimization of Sensor Networks

8 years 9 months ago
Proactive Power Optimization of Sensor Networks
—We propose a reduced-complexity genetic algorithm for dynamic deployment of resource constrained multi-hop mobile sensor networks. The goal of this paper is to achieve optimal coverage and improved battery life using dynamic power scaling (DPS) and improved fitness function. DPS exploits idle times, packet delay guarantees, performance and workload data using additional controls related to sensor power states and transmission power. The dynamic power scaling in conjunction with genetic algorithm jointly optimizes power states and topologies by dynamically monitoring workloads, packet arrivals, utilization data and quality-of-service compliance. This results in minimization of the power consumption of the sensor system while maximizing the sensor objectives.
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICC
Authors Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen
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