An Energy-Efficient SDN-Based Data Collection Strategy for Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) play a significant role in monitoring the physical or environmental conditions at different locations. Each sensor node may die if it runs out of energy. The sensor nodes consume substantial energy in processing sensing data; however, few studies focus on the data processing because the sensor nodes need to store the process protocol in their ROMs. A software-defined networking (SDN) structure can solve many issues in WSNs, such as a change in network structure and the insertion of new network applications that do not need to be implemented at the time of deployment of sensor nodes. This paper proposes a new method to increase the network prohormones. We design the flow table according to the limitations of WSN applications to ensure that all sensing data can meet the requirements of each application.