Advances in Network Simulation
Computer
Towards mobility as a network control primitive
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Design and implementation of a single system image operating system for ad hoc networks
Proceedings of the 3rd international conference on Mobile systems, applications, and services
On the Effectiveness of Movement Prediction to Reduce Energy Consumption in Wireless Communication
IEEE Transactions on Mobile Computing
Energy Optimization under Informed Mobility
IEEE Transactions on Parallel and Distributed Systems
Optimizing energy consumption of data flow in mobile ad hoc wireless networks
WSEAS Transactions on Computers
Context-aware optimized information dissemination in large scale vehicular networks
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Hi-index | 0.00 |
Node movement can be exploited to reduce the energy consumption of wireless network communication. The strategy consists in delaying communication until a mobile node moves close to its target peer node, within an application-imposed deadline. We evaluate the performance of various heuristics that, based on the movement history of the mobile node, estimate an optimal time (in the sense of least energy use) of communication subject to the delay constraint. We evaluate the impact of node movement model, length of movement history maintained, allowable delay, single hop versus multiple hop communication, and size of data transfer on the energy consumption. We also present measurement results on an iPAQ pocket PC that quantify energy consumption in executing the prediction algorithms. Our results show that, with relatively simple and hence efficient prediction heuristics, energy savings in communication can significantly outweigh the energy expenses in executing the prediction algorithms.