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Article . 2008 . Peer-reviewed
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International Journal of Sensor Networks
Article . 2015 . Peer-reviewed
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Lifetime Analysis for Wireless Sensor Networks

Authors: Helen Legakis; Mustafa K. Mehmet Ali; Jeremiah F. Hayes;

Lifetime Analysis for Wireless Sensor Networks

Abstract

The sensor nodes of wireless sensor networks WSNs have the dual function of gathering information and relaying it to a central collection point, the sink. In this paper, we derive connectivity, as expressed by the probability that a node lies on a path to the sink, as a function of the probability that adjacent cells in a grid are connected. The nodes are assumed to have two modes of operation, the active and sleep states and the energy is consumed only in the active state. For battery powered nodes, lifetime is an important factor. The effect of the demise of nodes on the nodal density and, in turn, on network connectivity is quantified. The novelty of the results is that they determine the degree of connectivity in networks with finite number of nodes, unlike to many results in the literature which are asymptotic and for full connectivity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
bronze