Energy Maps for Mobile Wireless Networks

We focus on the energy consumption as the end-to-end QoS metric, and describe a novel method by which an energy map can be constructed and refined in the joint memory of the mobile nodes. IN mobile networks, providing end-to-end Quality-of-Service (QoS) guarantees, such as a guaranteed end-toend throughput, delay, bit error rate, or energy consumption As a result, neither proactive nor reactive routing protocols, which require that the paths that are maintained or discovered remain stable, can provide end-to-end QoS guarantees.

In highly mobile networks, local routing protocols, such as geographic routing, are able to route the data in the right direction; however, they are unable to provide end-to-end QoS guarantees because the end-to-end paths are still viewed as highly unreliable, and only dynamically and locally determinable. The main assumption that underlies all of these approaches is that a path is a fixed sequence of nodes.