Neuro-Fuzzy Driven Context-Aware Optimized Topology for IoT - Nucot

Abstract

Due to technological evolution, the interaction between the user with local ambiance, the user with remote ambiance, and the user with machines become achievable as well as required reality. Also, process automation in manufacturing, as well as service industries, become a mandatory requirement. In the past interaction with ambiance was isolated and highly limited. Even the process automation was done secluded ways and was implemented using various independent single-purpose embedded systems. Since every such automation thrives to meet the non-functional requirements like cost, performance, reliability, availability, flexibility, and recoverability, the task of automation must be carried out at all possible levels. Moreover, such automation must be realized in cohesive and collaborated mode. These critical requirements have changed the landscape of interaction among different entities like man, machine, process, and Environment. The emergence of new technology namely “Internet of Things” has opened up several avenues to address as well as to meet above mentioned non-functional requirements. Already embedded system has revolutionized process automation across various industries but true automation or optimal automation requires meaningful interaction among man, machine, process, and environment. Hence, IoT objects along with other traditional systems are required to be interconnected to accomplish the best interaction which leads to smart living spaces as well as workspaces. However, these smart IoT objects are inherently made up of constrained resources such as limited computing ability, less storage capacity, and inadequate communication capability. Therefore, traditional network connectivity such as Ethernet LAN, Wi-Fi, Bluetooth LE, and other networking facilities may not provide customized as well as the optimized interconnection among these resources constrained IoT objects. Hence, an alternate topology is required to interconnect these IoT objects in an adaptable and optimized mode. Hence, this paper proposes a neuro-fuzzy driven context- aware optimized topology (NuCoT) for the interconnection of different IoT objects.