2015
DOI: 10.21307/ijssis-2017-784
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Transmission Power Control in Wireless Sensor Networks under the Minimum Connected Average Node Degree Constraint

Abstract: Abstract-As a branch of topology control, power control is of great importance to prolong the survival time of the network. A transmission power control algorithm is proposed under the minimum connected average node degree constraint in this paper. Using a Poisson point process in two dimensions, we derive an analytical expression that determines the required transmission range to achieve a specified connectivity probability for a given node density, and then the minimum connected average node degree is obtain… Show more

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Cited by 9 publications
(2 citation statements)
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References 27 publications
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“…The rationale for the system in Figure 1 is available in [ 11 , 12 , 13 ]. Briefly, the probability of a WSAN being k-connected is the same as the probability of all WSAN nodes having a minimum number of neighbors equals to k and depends on the number of deployed nodes n , the node density ρ , defined as n/A , where A is the deployment area, and the nodes’ radio range r , as shown in Equation ( 1 ).…”
Section: Introductionmentioning
confidence: 99%
“…The rationale for the system in Figure 1 is available in [ 11 , 12 , 13 ]. Briefly, the probability of a WSAN being k-connected is the same as the probability of all WSAN nodes having a minimum number of neighbors equals to k and depends on the number of deployed nodes n , the node density ρ , defined as n/A , where A is the deployment area, and the nodes’ radio range r , as shown in Equation ( 1 ).…”
Section: Introductionmentioning
confidence: 99%
“…All applications are interested in long WSN lifetime. [2,4] The challenge and the motivation of increasing the network lifetime while ensuring a deterministic latency and accuracy is crucial for all the WSN researchers. By increasing the network lifetime and providing a means to ensure the sensed data latency and localization accuracy, we proposed a design and implementation of a WSN node and the energy efficiency in the MAC layer.…”
Section: Introductionmentioning
confidence: 99%