Path and Partner Selection in Unstructured Resource- Constrained Environments Based on Node Psychology in the Context of IoT

Abstract

Internet of Things (IoT) is the network of the huge number of resource-personated nodes whose main feature is the reliable communication and fast data exchange among devices in any network topology. In the upcoming world of internet, proper selection of desire or appropriate destination node and finding the optimized path from the huge number of the activated nodes is a very important task. Here many nodes are available in one or more hop distance and each node has various network parameters in the IoT world, so the selection of best path and nodes is quite complex. For this reason, we need to develop an algorithm to find out the best path towards the destination node considering significant network parameters. This paper proposes a general algorithm considering any network topology for discovering the path towards the destination node from the source node and give a solution to the contradiction which may arise if there is more than one consonant path. The proposed algorithm considers the node property of all node for calculating the behavior value, path influence behavior value and finally discover the optimized path from source node to destination node. The proposed algorithm is also evaluated by simulation to determine the impact of parameters in path determination.