Market-Based Resource Allocation for Energy-Efficient Execution of Multiple Concurrent Applications in Wireless Sensor Networks

Many engineering disciplines have become reliant on WSNs in order to detect and track certain events of interest by monitoring various parameters, through a number of spatially distributed wireless sensors. Due to resource constraints of sensor hardware, traditional WSN applications involved exchanging an excessive amount of data, usually in an offline mode, between sensor nodes and a central unit, in order to apply computational analysis on the captured data. New sensor devices however, are equipped with more powerful resources and capable of running multiple concurrent processing, and applying computational data analysis can be implemented online and often in a distributed fashion. In this paper we will investigate the application of market-based algorithms for energy management, tasks allocation and resource coordination in WSNs with multiple concurrent applications. We will also propose a number of algorithms for calculating costs and utilities for multi-paradigm application requirements.