Mobility-based Optimal Relay Node Selection for IoT-oriented SDWSN

Abstract

Mobile IoT is a collection of wireless moving nodes that function together to form a momentary network without centralized management or regular support services. Node moving at high mobility speed results in link failure and periodic topological variations in the network, often forcing nodes to restart the route discovery process. Existing multi-path routing that considers optimized hop count is the primary focus of the routing algorithm. Any connection interruption leads to packet loss, which increases delay and energy costs for retransmission. To mitigate these issues, we propose a mobility-based dynamic energy-efficient routing (DEER) through the link stability for mobile IoT nodes in software-defined wireless sensor networks (SDWSNs). The proposed DEER uses fuzzy logic to determine the link strength between nodes using an expected transmission count and path loss ratio. Then by assessing the residual energy of each node, the DEER system chooses relay nodes and decides on multipath routing while preserving link stability, reliability, and extended network lifetime.