IEEE Transactions on Mobile Computing
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Proceedings of the 5th international conference on Mobile systems, applications and services
Computer Networks: The International Journal of Computer and Telecommunications Networking
Dynamic Power Management for Sensor Node in WSN Using Average Reward MDP
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Per-client basis approach for improving energy savings in multimedia wireless networks
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Performance study and system optimization on sleep mode operation in IEEE 802.16e
IEEE Transactions on Wireless Communications
Opportunistic link overbooking for resource efficiency under per-flow service guarantee
IEEE Transactions on Communications
Improved dynamic power management in wireless sensor networks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
| Hi-index | 0.01 |
We develop a novel approach for conserving energy in battery-powered communication devices. There are two salient aspects to this approach. First, the battery-powered devices move through multiple, progressively deeper, sleep states in a predictable manner. Nodes in deeper sleep states consume lower energy while asleep, but incur a longer delay and higher energy cost to awaken. Second, the nodes are woken up on demand through a paging signal. To awaken nodes that are in deep sleep, the paging signal has to be decoded using very low power circuits such as those used in radio frequency tags. To accommodate this need, in a manner that scales well with the number of nodes, the number of distinct paging signals has to be much less than the number of possible nodes. This is accomplished through a group-based wakeup scheme, which initially awakens the targeted node along with a number of other similarly disposed nodes that subsequently return to their original sleep state. Tradeoffs among energy consumption, delay and overhead are presented; comparisons with other protocols show the potential for 16% to 50% improvement in energy consumption.