Since the late 1980s the world is working towards connectivity and convergence. In the last three decades, the convergence of information resources has happened. However to achieve a true convergence the information assets have to be shared, used and executed fruitfully by the various gadgets which we use in our daily lives. Internet of Things is a concept which leverages on the power of networks to create ubiquitous sensor-actuator networks. With the advent of the cloud technologies, the concept of IOTs can be integrated with even the basic elements having limited computing power. This paper aims to evaluate the possibilities offered by integrating the two concepts of IOTs and Cloud Computing.

A successful node localization is of great importance to design efficient localization algorithms in Wireless Sensor Networks (WSNs). A proper node deployment can assist in routing, data fusion and communication in large scale ad hoc networks. Furthermore, it can extend the lifetime of WSNs by minimizing energy consumption. In this paper, we propose range-free localization using Fuzzy logic to achieve a more optimum solution. We model edge weights using Fuzzy logic system, which utilize the current value of Received Signal Strength Indicator (RSSI) and the Link Quality Indicator (LQI) from the anchor nodes for deciding location of sensor nodes. We have implemented our approach as a TinyOS module, and evaluated it through extensive TOSSIM simulations. Simulation results have shown promising results and demonstrate the effectiveness of the proposed approach.