Implementation of Rank Based Sleep Scheduling (RBSS) Protocol for WSNs in a Fixed Grid Topology

AbstractOne of the most significant challenges in wide-scale Wireless Sensor Networks (WSNs) is to achieve energy efficiency in order to increase their lifetime and ensuring responsiveness. A very widely applied approach in this regard is to overload the region with numerous low-cost sensing devices that can communicate with each other wirelessly and coordinate amongst themselves in developing schedules for being asleep or active. The literature has numerous research works in this regard which aim to develop efficient sleep scheduling schemes. In this paper, we present an implementation of a grid-topology based cooperative Rank Based Sleep Scheduling (RBSS) protocol in which the nodes of every cell coordinate in a distributive manner, the decision making process of selecting the nodes that should stay active, while others sleep. The proposed protocol guarantees the WSN connectivity as well as the required coverage. Finally, we implement RBSS on a small scale grid using TelosB motes

Design and control approaches for energy harvesting wireless sensor networks

Wireless Networks are monitoring infrastructures composed of sensing (measuring), computing, and communication devices used to observe, supervise and monitor environmental phenomena. Energy Harvesting Wireless Sensor Networks (EH-WSN) have the additional feature to save energy from the environment in order to ensure long life autonomy of the entire network, without ideally the human intervention over long periods of time. The present work is aimed to address some of the most significant limitations of the actual EH-WSN, making a step forward the perpetual operation of EH-WSN. In this dissertation, design methodology and management policies are proposed to improve EH-WSN in terms of application performances, traffic congestion and energy efficiency. The study explicitly targets to energy-efficient affordable ways to develop more reliable and trustworthy EH-WSN, capable to ensure long life and desired performances. The presentation is organized into two macro sections, or Parts: the first one is dedicated to design the main EH-WSN hardware and software parameters that affect the energy efficiency of a sensor node, while in the second part three dynamic control strategies are proposed to outperform the EH-WSN in terms of energy efficiency, traffic congestion and application requirements