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.