Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A power control MAC protocol for ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
MiSer: an optimal low-energy transmission strategy for IEEE 802.11a/h
Proceedings of the 9th annual international conference on Mobile computing and networking
Proceedings of the 10th annual international conference on Mobile computing and networking
The capacity of wireless networks
IEEE Transactions on Information Theory
Directed diffusion based on link-stabilizing clustering for wireless sensor networks
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Hi-index | 0.00 |
We investigate the impact of power control on latency in wireless ad-hoc networks. If transmission power is increased, interference increases, thus reducing network capacity. A node sending/relaying delay-sensitive real-time application traffic can, however, use a higher power level to reduce latency, if it considers information about load and channel contention at its neighboring nodes. Based on this observation, we formulate a new distributed power control protocol, Load-Aware Power Control (LAPC), that heuristically considers low end-to-end latency when selecting power levels. We study the performance of LAPC via simulations, varying the network density, node dispersion patterns, and traffic load. Our simulation results demonstrate that LAPC achieves an average end-to-end latency improvement of 54\% over the case when nodes are transmitting at the highest power possible, and an average end-to-end latency improvement of 33\% over the case when nodes are transmitting using the lowest power possible, for uniformly dispersed nodes in a lightly loaded network.