Survivability Aware Channel Allocation in WSN for IoT applications

Abstract

The Proliferation of the Internet of Things applications like healthcare monitoring services and others has accelerated the demand for wireless networks of tiny devices. Network congestion escalates as the number of field devices with wireless connectivity increases. An efficient medium access control strategy that provides a reliable channel by reducing the packet collision is paramount in these congested network topologies. MAC protocols should evaluate properties of the links before allowing nodes to access the shared medium. Network survivability is an important attribute to be considered in IoT scenarios and has multiple stratifications; path, link, and node survivability. Protocols at various layers of protocol stack should operate jointly to prolong the network survivability. This work develops a Survivability Aware Channel Allocation (SACA) technique which is a fuzzy-based mechanism that enables the network components to adapt the preferences to get the channel access. It works along with upper layer protocols with a cross-layer design to prioritize medium access strategies. Simulation results suggest that the proposal works better in terms of network throughput and packet delivery rate and improves the reliability of the network. The new method operates at every node and tries to control performance degradation as the network density expands.