Improving Multipath Load Balancing Routing With Moth Flame Optimization Approach in Internet of Things Applications

In future, billion of wireless devices will communicate with each other in the Internet of things to make more efficient and convenient life style. Internet of things is a network containing multiple wireless devices, also called nodes, which are connected with each other and also share the information through the internet. Every device in an IoT is free to move independently in all the directions. It can change its links to other devices frequently. Nodes are randomly connected with each other using arbitrary topology. They can act as both routers and hosts. This research puts light on one issues related works which will give ideas to give their best to the Internet of Things (IoT) environment. The existing approach is multipath load balancing which used to handle the Internet of thing traffic on the wireless sensor network for link stability. There are two main designs: layer design and load balance where the information is sent from source to destination with multi-hops. There experiment results are compared with Zigbee’s AODV and AOMDV. The purpose of this work is to study, understand, analyze and discuss Internet of Things routing protocol for example, OLSR where it is a proactive protocol depending on routing tables which are maintained at each node. In this thesis, Moth Flame Optimization Algorithm is used for routing in an IoT while using MLB protocol.