Uncertain random spectra

a new metric for assessing the survivability of mobile wireless sensor networks

Li Xu, Jing Zhang, Pei Wei Tsai, Wei Wu, Dajin Wang

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

In this paper, a soft computing method, a probability theory, and a graph theoretic approach are utilized to describe this phenomenon. Uncertain random spectra, namely, natural tenacity, are established in this paper for assessing the survivability of MWSNs. We propose an elaborate mathematical formulation that relates the survivability to the natural tenacity. In addition, then the probability of link connectivity is proposed in order to connect the natural tenacity to the connectivity of the network, which reflects the most important indicators of network survivability. The natural tenacity of MWSNs is explored by both analytical and numerical ways. Moreover, we also compare it with other survivability measures. Under the smooth Gauss–semi-Markov mobility model, the effectiveness of the measure is verified through numerical analysis. The result indicates that the natural tenacity has a strong analytical ability to measure the survivability of MWSNs objectively.

Original languageEnglish
Pages (from-to)2619-2629
Number of pages11
JournalSoft Computing
Volume21
Issue number10
DOIs
StatePublished - 1 May 2017

Fingerprint

Mobile Sensor Networks
Tenacity
Survivability
Wireless Sensor Networks
Wireless sensor networks
Metric
Connectivity
Network Survivability
Mobility Model
Computing Methods
Soft Computing
Probability Theory
Soft computing
Markov Model
Numerical Analysis
Numerical analysis
Formulation
Graph in graph theory

Keywords

  • Natural tenacity
  • Probability theory
  • Semi-Markov process
  • Spectra
  • Uncertainty theory

Cite this

Xu, Li ; Zhang, Jing ; Tsai, Pei Wei ; Wu, Wei ; Wang, Dajin. / Uncertain random spectra : a new metric for assessing the survivability of mobile wireless sensor networks. In: Soft Computing. 2017 ; Vol. 21, No. 10. pp. 2619-2629.
@article{82e72095d01641f5b23398f1c5d5f84a,
title = "Uncertain random spectra: a new metric for assessing the survivability of mobile wireless sensor networks",
abstract = "In this paper, a soft computing method, a probability theory, and a graph theoretic approach are utilized to describe this phenomenon. Uncertain random spectra, namely, natural tenacity, are established in this paper for assessing the survivability of MWSNs. We propose an elaborate mathematical formulation that relates the survivability to the natural tenacity. In addition, then the probability of link connectivity is proposed in order to connect the natural tenacity to the connectivity of the network, which reflects the most important indicators of network survivability. The natural tenacity of MWSNs is explored by both analytical and numerical ways. Moreover, we also compare it with other survivability measures. Under the smooth Gauss–semi-Markov mobility model, the effectiveness of the measure is verified through numerical analysis. The result indicates that the natural tenacity has a strong analytical ability to measure the survivability of MWSNs objectively.",
keywords = "Natural tenacity, Probability theory, Semi-Markov process, Spectra, Uncertainty theory",
author = "Li Xu and Jing Zhang and Tsai, {Pei Wei} and Wei Wu and Dajin Wang",
year = "2017",
month = "5",
day = "1",
doi = "10.1007/s00500-015-1962-4",
language = "English",
volume = "21",
pages = "2619--2629",
journal = "Soft Computing",
issn = "1432-7643",
publisher = "Springer Verlag",
number = "10",

}

Uncertain random spectra : a new metric for assessing the survivability of mobile wireless sensor networks. / Xu, Li; Zhang, Jing; Tsai, Pei Wei; Wu, Wei; Wang, Dajin.

In: Soft Computing, Vol. 21, No. 10, 01.05.2017, p. 2619-2629.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Uncertain random spectra

T2 - a new metric for assessing the survivability of mobile wireless sensor networks

AU - Xu, Li

AU - Zhang, Jing

AU - Tsai, Pei Wei

AU - Wu, Wei

AU - Wang, Dajin

PY - 2017/5/1

Y1 - 2017/5/1

N2 - In this paper, a soft computing method, a probability theory, and a graph theoretic approach are utilized to describe this phenomenon. Uncertain random spectra, namely, natural tenacity, are established in this paper for assessing the survivability of MWSNs. We propose an elaborate mathematical formulation that relates the survivability to the natural tenacity. In addition, then the probability of link connectivity is proposed in order to connect the natural tenacity to the connectivity of the network, which reflects the most important indicators of network survivability. The natural tenacity of MWSNs is explored by both analytical and numerical ways. Moreover, we also compare it with other survivability measures. Under the smooth Gauss–semi-Markov mobility model, the effectiveness of the measure is verified through numerical analysis. The result indicates that the natural tenacity has a strong analytical ability to measure the survivability of MWSNs objectively.

AB - In this paper, a soft computing method, a probability theory, and a graph theoretic approach are utilized to describe this phenomenon. Uncertain random spectra, namely, natural tenacity, are established in this paper for assessing the survivability of MWSNs. We propose an elaborate mathematical formulation that relates the survivability to the natural tenacity. In addition, then the probability of link connectivity is proposed in order to connect the natural tenacity to the connectivity of the network, which reflects the most important indicators of network survivability. The natural tenacity of MWSNs is explored by both analytical and numerical ways. Moreover, we also compare it with other survivability measures. Under the smooth Gauss–semi-Markov mobility model, the effectiveness of the measure is verified through numerical analysis. The result indicates that the natural tenacity has a strong analytical ability to measure the survivability of MWSNs objectively.

KW - Natural tenacity

KW - Probability theory

KW - Semi-Markov process

KW - Spectra

KW - Uncertainty theory

UR - http://www.scopus.com/inward/record.url?scp=84949502551&partnerID=8YFLogxK

U2 - 10.1007/s00500-015-1962-4

DO - 10.1007/s00500-015-1962-4

M3 - Article

VL - 21

SP - 2619

EP - 2629

JO - Soft Computing

JF - Soft Computing

SN - 1432-7643

IS - 10

ER -