Evaluating Collaboration among the Internet of Things through Agent based Modeling and Simulation Approach

Abstract

The “Internet of Things (IOT)” is a network of physical objects, devices, vehicles, buildings, and other things embedded with electronics, software, sensors and network connectivity. IOT allows objects to be sensed and controlled remotely across the existing network infrastructure, enhancing collaboration through direct integration of the physical world into computer based system. IOT collaborations technologies are increasingly deployed in real world. IOT based collaboration deals with the environment in which different agents are collaborates with each other via desired communication network to achieve the efficiency in real world. This thesis discusses the evaluation of agent based collaborative IOT technologies into real world to examine the feasibility, efficiency and flexibility among different integrated objects/things. We proposed a framework that works in anylogic to model the system and simulate it. In addition to it we use some GIS components and resource optimization algorithm such as Ruin & Recreate algorithm which combined work in anylogic to achieve the desired efficiency. For this purpose we take solid waste Management as a case study through the use of smart dumpsters and collaborative technologies. Determine all the agents, define different states of agent, collaborative environment and relationship between different agents and environments. Modeling the collaborative environment for the system into real world environment, run simulations on this environment and evaluate it by comparing the simulation results with actual real world and monitoring the efficiency and effectiveness of the system before the actual implementation of the system into real world.