Configurable Task Mapping for Multiple Objectives in Macro-Programming of Wireless Sensor Networks
Macro-programming is the new generation advanced method of using Wireless Sensor Network (WSNs), where application developers can extract data from sensor nodes through a high level abstraction of the system. Instead of developing the entire application, task graph representation of the WSN model presents simplified approach of data collection. However, mapping of tasks onto sensor nodes highlights several problems in energy consumption and routing delay. In this paper, the authors present an efficient hybrid approach of task mapping for WSN - Hybrid Genetic Algorithm, considering multiple objectives of optimization - energy consumption, routing delay and soft real time requirement.