Optimized Tuning of LOADng Routing Protocol Parameters for IoT

Interconnected devices and intelligent applications have slashed human intervention in the Internet of Things (IoT), making it possible to accomplish tasks with less interaction. However, faces many problems, including lower capacity links, energy utilization, enhancement resources limited due its openness, heterogeneity, extensiveness. It is challenging route packets such a constrained environment. In an IoT network by resources, minimal routing control overhead required without packet loss. Such environments can be improved through optimal protocol. Thus, this work motivated present efficient protocol for enhancing lifetime network. Lightweight On-demand Ad hoc Distance-vector Routing Protocol—Next Generation (LOADng) extended version Hoc On-Demand Distance Vector (AODV) Unlike AODV, LOADng lighter that forbids intermediate nodes on send reply (RREP) request (RREQ), which originated from source. A resource-constrained demands faster delivery. So, paper, parameters are optimized using black widow optimization (BWO) algorithm reduce delay. Furthermore, performance proposed model analyzed default terms delay, delivery ratio overhead. Obtained results show LOADng-BWO outperforms conventional