Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN)

Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN)

연구 분야: Networking

학회: International Journal of Information Technology

Wireless Sensor Networks (WSN) are extensively used in different applications and require several data-transmission routing strategies. Finding routes in these networks is expensive in terms of energy consumption and requires more computing power within each node. This has encouraged deploying software-defined paradigms in WSNs because the integration of software-defined wireless sensor networks (SDWSN) employs a control server and multiple Control Nodes (CNs). A base station computes routes termed a control server, and CNs are selected amongst the Sensor Nodes (SNs). Selecting an optimal CN is a challenging problem in SDWSN. So, this paper explored an energy-efficient multi-objective meta-heuristic-based routing algorithm for determining optimal nodes as CNs. The algorithm uses residual energy, distance, and fitness function to solve Controller Selection and Placement (CSPP) problem. The problem has been expressed as a multi-Objective function and solved using the Sailfish Optimization (SFO) technique, and it is implemented using the MATLAB tool. The SFO-CS approach minimizes the transmission distance (delay) and energy consumption. Simulation results show that SFO-CS outperforms existing methods through latency, energy consumption, packet delivery ratio (PDR), and overall network lifetime.