A localized adaptive architecture for dynamic wireless sensor networks

Abstract

IoT is seen as the next big thing in the world to come. Previously people were less connected with the internet. But in recent years, IoT has seen substantial research and innovation in many technology areas, and uses of the internet are increasing day by day. In the near foreseeable future, the vast number of devices connected together will result in highly complex networks that would cause an exponential increase in computation times, latency and power consumption. In this paper, we take a modular approach to dealing with the issue. We propose a Weight-based Adaptive Neighbor Localization (WANLoc) Algorithm that creates a highly opti- mized network based on localized network architecture that is network independent. This means that the sensor nodes in this network do not need to communicate with any cluster head or sink in order to function. In addition, WANLoc is intended to function in a dynamic wireless sensor network where nodes enter and exit the network regularly. This also means that it is exceptionally good at handling node failures. Nodes in this network only communicate with their immediate neighbors, maintained in a set of dynamic tables designed to reduce lookup times when deciding whom to forward data to. This also means that nodes can now be configured with minimum transmission capabilities, saving a lot of precious energy in the process.