Published Paper Details:

As technology evolves, so does the demand for employing sophisticated mobile robots. Nevertheless, researchers confront two major obstacles when building automated mobile robots: energy efficiency and path planning. In this paper, an efficient and effective Fuzzy based mobile robot system is presented wherein works has been done on effective CH selection and relaying technique. The main objective of the proposed work is to reduce energy consumption of nodes while finding route for transmitting data to sink node. To achieve this objective, the proposed model utilizes Fuzzy Logic System (FLS) for selecting the appropriate and optimum cluster Heads. Three important factors i.e. Distance, connections and residual energy of a particular node are considered which serve as input to Fuzzy system. The fuzzy system analyzes these factors and generates a single output that determines the probability of node to become CH in the network. In addition to this, the suggested work employs a CH chaining-based relaying approach to lessen network complexity and increase network speed. The efficacy of the proposed approach is examined and validated by comparing it with traditional models in MATLAB software. The results were obtained in terms of Packet Delivery Ratio (PDR) and Lifetime for scenarios with varied packet size, BS speed, node speed, and network size. Results obtained simulated that proposed fuzzy model is showing more promising and effective results for all parameters.