The bimodal probability density distribution of the survivability for wireless sensor networks under random failures

Yan Lv, Wei Huangfu*, Zhongshan Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The survivability is extremely important for the real applications of wireless sensor networks. It is interesting to note that the survivability itself is also stochastic under random failures. The bimodal probability density distribution of the network survivability and its negative influence are discussed in detail. It is shown that under random failures, either the wireless sensor network performs quite well, or it scarcely operates, which is usually unacceptable for some real applications of wireless sensor networks. Although the average of the survivability is valuable, its probability density distribution is more important to judge the sensing capacity of the sensor network under random failures.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
EditorsJianhua Ma, Ali Li, Huansheng Ning, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages284-291
Number of pages8
ISBN (Electronic)9781467372114
DOIs
Publication statusPublished - 20 Jul 2016
Externally publishedYes
EventProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 - Beijing, China
Duration: 10 Aug 201514 Aug 2015

Publication series

NameProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Conference

ConferenceProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
Country/TerritoryChina
CityBeijing
Period10/08/1514/08/15

Keywords

  • Bimodal probability distribution
  • Grid-based deployment
  • Random deployment
  • Survivability
  • Wireless sensor network

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