User-centric radio power control for opportunistic mountain hiking networks

Jyh How Huang, Po Yen Lin, Yu Te Huang, Seng Yong Lau, Ling Jyh Chen, Kun Chan Lan, Hao Hua Chu, Polly Huang

研究成果: 書貢獻/報告類型會議貢獻

摘要

Saving DTNs' battery power to prolong the system life time has been an important research topic which scientists try to optimize. Most researches fall into two categories - Time Division Multiple Access based ones, and Low Power Listening ones by turning the listener's radio on/off intermittenly with long sending preambles. In this paper we propose solving the problem from a whole new angle - by using the motes' physical behavior, which is detectable by relatively energy-cheap accelerometer, as the judgment for turning the radio on/off. This scheme can be used in combination with any energy efficient DTN MAC protocols. We evaluate the protocol by running simulations with real hikers' traces and the result is shown in the evaluation section.

原文英語
主出版物標題Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10
頁面396-397
頁數2
DOIs
出版狀態已發佈 - 2010 七月 16
事件9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2010 - Stockholm, 瑞典
持續時間: 2010 四月 122010 四月 16

出版系列

名字Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10

其他

其他9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2010
國家瑞典
城市Stockholm
期間10/4/1210/4/16

    指紋

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Electrical and Electronic Engineering

引用此

Huang, J. H., Lin, P. Y., Huang, Y. T., Lau, S. Y., Chen, L. J., Lan, K. C., Chu, H. H., & Huang, P. (2010). User-centric radio power control for opportunistic mountain hiking networks. 於 Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10 (頁 396-397). (Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN '10). https://doi.org/10.1145/1791212.1791272