Context Aware Load Balancing in IoT

The IoT is the current revolt in Internet, mobile and more technologies. By adding intellect to the physical objects the objects can communicate each other to perform the desired job which reduces the human intervention. In this paper we propose a context aware load balancing in IoT. Load balancing is the splitting of traffic from one path to the other path to avoid congestion in the network. Load balancing is done by computing multipath routing, and multipath routing is computed based on context of data such as weight factor and quality of link. In this paper as the source mode initiates the route discovery by flooding the route request message to the destination in the network and waits for route reply message while migrated route packet collects the information such as node id, energy, distance, neighbor node count and mobility of nodes from all the intermediate nodes and gives it to the destination node. Once the destination receives the packet, it computes the node disjoint paths and assigns the priorities based on the type of request received. The proposed scheme is simulated for its effectiveness and the performance parameters used are path discovery time, load balancing time, throughput and packet delivery ratio.