Opportunistic Routing for Large Scale IoT Network to Reduce Transmission Overhead

Abstract

Increase in popularity of sensor electronics have gained much attention for wireless sensor technologies and demands many IoT (Internet of things) applications for real time and industrial applications. In IoT the proliferation of devices which are able to directly connected to internet and can be monitored. Sensed data from the device has to be forwarded to base station or end user (EU) which is achieved by efficient routing protocols to improve data transmission for large scale IoT. During routing process redundant data may be forwarded by nodes causing more overhead which may lead to congestion. There exist many challenges like low power links, multiple disjoint path, and energy while designing efficient communication protocol. In this paper we propose an enhanced opportunistic routing (e-OR) protocol for self-disciplined and self-healing large scale IoT devices. Enhanced opportunistic routing protocol uses best fit traversing algorithm to find optimal and reliable routes. The e- OR estimates link quality of nodes to avoid frequent disconnections. During route discovery process e-OR adapts greedy behaviour for finding optimal and shortest routes. Further we integrate congestion avoidance using clear channel assignment (CCA) for better channel availability to avoid packet loss and achieve QoS.