Efficient Radio Communication for Energy Constrained Sensor Networks

摘要: Radio communication is an integral part of wireless sensor networks. This dissertation focuses on improving the energy consumption radio in networks by proposing novel approaches two key aspects low-power communication, namely, link quality estimation and low duty-cycle data forwarding protocol. I first motivate research with a comparative study routing performance respect to existing protocols. Then, propose 4C, data-driven approach build prediction models based empirical collected from deployment site order address problems Furthermore, improve this predict short temporal variations without prior training employing online learning techniques. Analytical evaluations show that proposed can significantly reduce cost transmissions utilizing long links variable quality. Moreover, SAF, energy-efficient protocol effectively utilize term duty-cycled With help models, SAF not only minimizes spent idle nodes, but also leverage spatial diversity via opportunistic routing. The concludes discussion potential improvements as well other