The Influence of Communication Range on Connectivity for Resilient Wireless Sensor Networks Using a Probabilistic Approach.

López Santidrián, M. Lourdes and Sendra Pons, Juana and Martínez Ortega, José Fernán and Huan, Yuanjiang (2013). The Influence of Communication Range on Connectivity for Resilient Wireless Sensor Networks Using a Probabilistic Approach.. "International Journal of Distributed Sensor Networks", v. 2013 ; pp. 1-11. ISSN 1550-1329. https://doi.org/10.1155/2013/482727.

Description

Title: The Influence of Communication Range on Connectivity for Resilient Wireless Sensor Networks Using a Probabilistic Approach.
Author/s:
  • López Santidrián, M. Lourdes
  • Sendra Pons, Juana
  • Martínez Ortega, José Fernán
  • Huan, Yuanjiang
Item Type: Article
Título de Revista/Publicación: International Journal of Distributed Sensor Networks
Date: 2013
ISSN: 1550-1329
Volume: 2013
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería y Arquitecturas Telemáticas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Wireless sensor networks (WSNs) consist of thousands of nodes that need to communicate with each other. However, it is possible that some nodes are isolated from other nodes due to limited communication range. This paper focuses on the influence of communication range on the probability that all nodes are connected under two conditions, respectively: (1) all nodes have the same communication range, and (2) communication range of each node is a random variable. In the former case, this work proves that, for 0menor queepsmenor quee^(-1) , if the probability of the network being connected is 0.36eps , by means of increasing communication range by constant C(eps) , the probability of network being connected is at least 1-eps. Explicit function C(eps) is given. It turns out that, once the network is connected, it also makes the WSNs resilient against nodes failure. In the latter case, this paper proposes that the network connection probability is modeled as Cox process. The change of network connection probability with respect to distribution parameters and resilience performance is presented. Finally, a method to decide the distribution parameters of node communication range in order to satisfy a given network connection probability is developed.

More information

Item ID: 21695
DC Identifier: http://oa.upm.es/21695/
OAI Identifier: oai:oa.upm.es:21695
DOI: 10.1155/2013/482727
Official URL: http://www.hindawi.com/journals/ijdsn/
Deposited by: Memoria Investigacion
Deposited on: 25 Nov 2013 12:30
Last Modified: 21 Apr 2016 12:25
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