移动容错Ad-hoc网络中的节能终端发现

W. Feng, Shihang Li
{"title":"移动容错Ad-hoc网络中的节能终端发现","authors":"W. Feng, Shihang Li","doi":"10.1109/CyberC.2013.86","DOIUrl":null,"url":null,"abstract":"Delay Tolerant Networking (DTN) mechanism is widely utilized in sparse mobile networks, in which data is forwarded by using the \"store-carry-forward\" manner. Since there is no communication infrastructure in such scenario, terminals must probe their environment to discover other terminals, which can be an extremely energy-consuming process. To discover other terminals, both detection range and detection frequency impact the Missing Probability, which denotes the probability terminals within probing range is missed to be discovered. On the other hand, above two parameters impact the terminal energy consumption as well. Therefore, in this paper, we investigate the tradeoff between the Missing Probability and the energy consumption which are both impacted by detection range and detection frequency. Furthermore, a utility function in terms of both energy consumption and Missing Probability with considering detection efficiency is proposed, and the simulation result shows that terminal-discovering performance could be improved by properly selecting detection frequency and detection range.","PeriodicalId":133756,"journal":{"name":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Energy Efficient Terminal-Discovering in Mobile Delay Tolerant Ad-hoc Networks\",\"authors\":\"W. Feng, Shihang Li\",\"doi\":\"10.1109/CyberC.2013.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Delay Tolerant Networking (DTN) mechanism is widely utilized in sparse mobile networks, in which data is forwarded by using the \\\"store-carry-forward\\\" manner. Since there is no communication infrastructure in such scenario, terminals must probe their environment to discover other terminals, which can be an extremely energy-consuming process. To discover other terminals, both detection range and detection frequency impact the Missing Probability, which denotes the probability terminals within probing range is missed to be discovered. On the other hand, above two parameters impact the terminal energy consumption as well. Therefore, in this paper, we investigate the tradeoff between the Missing Probability and the energy consumption which are both impacted by detection range and detection frequency. Furthermore, a utility function in terms of both energy consumption and Missing Probability with considering detection efficiency is proposed, and the simulation result shows that terminal-discovering performance could be improved by properly selecting detection frequency and detection range.\",\"PeriodicalId\":133756,\"journal\":{\"name\":\"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CyberC.2013.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberC.2013.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

容忍延迟网络(Delay tolerance Networking, DTN)机制是稀疏移动网络中广泛应用的一种机制,其数据转发采用“存储-前转”的方式。由于在这种情况下没有通信基础设施,终端必须探测其环境以发现其他终端,这可能是一个非常耗能的过程。为了发现其他终端,探测距离和探测频率都会影响未发现概率,即探测范围内终端未被发现的概率。另一方面,以上两个参数也会影响终端能耗。因此,在本文中,我们研究了缺失概率和能量消耗之间的权衡,两者都受到检测距离和检测频率的影响。在此基础上,提出了考虑检测效率的能量消耗和缺失概率的效用函数,仿真结果表明,合理选择检测频率和检测距离可以提高终端发现性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficient Terminal-Discovering in Mobile Delay Tolerant Ad-hoc Networks
Delay Tolerant Networking (DTN) mechanism is widely utilized in sparse mobile networks, in which data is forwarded by using the "store-carry-forward" manner. Since there is no communication infrastructure in such scenario, terminals must probe their environment to discover other terminals, which can be an extremely energy-consuming process. To discover other terminals, both detection range and detection frequency impact the Missing Probability, which denotes the probability terminals within probing range is missed to be discovered. On the other hand, above two parameters impact the terminal energy consumption as well. Therefore, in this paper, we investigate the tradeoff between the Missing Probability and the energy consumption which are both impacted by detection range and detection frequency. Furthermore, a utility function in terms of both energy consumption and Missing Probability with considering detection efficiency is proposed, and the simulation result shows that terminal-discovering performance could be improved by properly selecting detection frequency and detection range.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信