| Wireless Sensor Networks (WSNs) are infrastructureless wireless networks that combine sensing, embedded computing, and wireless networking technologies together. Despite the diversity of WSN applications, some functionalities are so fundamental that they are required by most WSN applications. We call them the fundamental services as we believe these services are most important and indispensable for a wide variety of WSNs applications. In this thesis work, we investigate solutions to three fundamental services, namely, localization service, joint scheduling service, and adaptive sampling service. Simulation results and experimental results on real testbed demonstrate the effectiveness and efficiency of these solutions. Our solutions to these fundamental services can serve as the basic building blocks in most applications with WSNs. |
