Energy-Aware Routing for Software-Defined Multihop Wireless Sensor Networks

In this paper, we propose an energy-aware routing algorithm and a control overhead reduction technique for prolonging the network lifetime of software-defined multihop wireless sensor networks (SDWSNs). This is effort to optimize energy consumption WSNs that provide services Industrial Internet Things (IIoT). A centralized controller grants global view by introducing extra in network, but leads costs. However, our new takes advantage balances selecting paths with highest remaining level among multiple each node. We also identify key functions draining from SDWSN minimize their impact implementing data packet aggregation function, minimizing keeping track nodes' tables using simple checksum function. show proposed approach prolongs WSN 6.5% on average compared standard shortest-path algorithm, reduced approximately 12% while still maintaining very high delivery ratio.