2016
DOI: 10.1109/tii.2015.2411231
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Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks

Abstract: Network lifetime is a crucial performance metric to evaluate data-gathering wireless sensor networks (WSNs) where battery-powered sensor nodes periodically sense the environment and forward collected samples to a sink node. In this paper, we propose an analytic model to estimate the entire network lifetime from network initialization until it is completely disabled, and determine the boundary of energy hole in a data-gathering WSN. Specifically, we theoretically estimate the traffic load, energy consumption, a… Show more

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Cited by 202 publications
(98 citation statements)
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References 33 publications
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“…Based on perceptions that sensor networks may neglect to be designed with an address because of lack of routes and address space along a tree will not be ideal. Ju Ren et al [12] have developed a model to assess energy consumption, lifetime and traffic load of sensor networks in data gathering WSN. Their propagation comes about the display that their proposed model could assess energy hole evolution process inside an ER smaller than 5%.…”
Section: Related Workmentioning
confidence: 99%
“…Based on perceptions that sensor networks may neglect to be designed with an address because of lack of routes and address space along a tree will not be ideal. Ju Ren et al [12] have developed a model to assess energy consumption, lifetime and traffic load of sensor networks in data gathering WSN. Their propagation comes about the display that their proposed model could assess energy hole evolution process inside an ER smaller than 5%.…”
Section: Related Workmentioning
confidence: 99%
“…In other words, the instant at which the first sensor node fails with high probability (does not work properly) or fails permanently (ends its operation or die) due to insufficient energy will determine the network lifetime. This definition has been adopted in several references, as for instance in [13,21,23,24,33,34,35,36,37]. The value of t at which the residual energy of any sensor node of the network becomes less than or equal to a given fraction of its maximum stored energy max{bolds1(1)} is defined as the death instant, td, and the corresponding residual energy is defined and the death energy sd.…”
Section: Problem Statement and Formulationmentioning
confidence: 99%
“…Next, code dissemination needs to use as little energy as possible. Sensor nodes are generally battery-powered and therefore have limited energy [29,30,31,32,33], and the sensor network deployment environment is generally dangerous [34,35,36,37,38], or other they are in other restricted environments, so battery replacement is precluded after deployment [31,39,40]. Therefore, the process of program code dissemination must save energy as far as possible, to prolong network lifetime [24,27,28].…”
Section: Introductionmentioning
confidence: 99%