Energy Map Model for Software-Defined Wireless Sensor Networks

Wireless sensor networks (WSN) is a technology commonly used for remote monitoring, tracking and detection applications. Since energy efficiency is a major concern in WSN, to know the remaining energy on each node could optimize the energy consumption. We propose a novel method to create an energy map for a Software-Defined Wireless Sensor Network (SDWSN). We implement an energy consumption prediction model into the controller, which obtains information of each node and estimates its energy consumption rate. This approach reduces the node processing overhead and memory usage when compared to other approach available.