Topology Control in Wireless Sensor Network: An Overview

Nagpure, Ashwini V.; Patil, Sulabha

doi:10.5120/16020-5020

Cited by 5 publications

(2 citation statements)

References 25 publications

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“…The contribution to minimize the energy requirement is previously done by so many researchers and still the work is continuing towards this direction. Specifically most of the work for the domain of WSN is done using topology control [15] and some of those works are discussed here. Xiaoyu Chu and Harish Sethu [3] introduce (CTCA) algorithm that dynamically adapts to current energy levels at different node and introduces a game-theoretic to maximize the network lifetime.…”

Section: Related Workmentioning

confidence: 99%

An Augmentation of Topology Control Algorithm for Energy Saving in WSN Integrated into Street Lighting Control

Nagpure¹,

Damahe²,

Patil³

2015

IJISA

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Energy saving and improve the life time of the sensor node is main focus in the recent years for the researchers hence one of the application domain (Street light monitoring and controlling) of sensor required attention towards this direction. For contributing in this domain we have proposed a scheme for Street light controlling using distributed topology control (TC). The optimize version of A3 protocol reduces the number of messages send/received by the sensors which ultimately leads to the reduction of energy requirement. Experiments are carried on street light scenario for different no. of nodes by maintaining communication using Zigbee protocol. The performance of our extension is evaluated using, no. of messages send/receive & energy consumed during topology building and our approach is having good results as compared to the approach used for this type of network.

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Section: Related Workmentioning

confidence: 99%

An Augmentation of Topology Control Algorithm for Energy Saving in WSN Integrated into Street Lighting Control

Nagpure¹,

Damahe²,

Patil³

2015

IJISA

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“…To this end, a significant amount of work has been carried out across the protocol stack to prolong the lifetime of WSNs. Notable examples include energy-efficient medium access control (MAC) protocols [2][3][4], duty-cycling strategies [5], energy-efficient routing [6], topologycontrol mechanisms [7], and even operating systems [8].…”

Section: Introductionmentioning

confidence: 99%

A Tier-Based Duty-Cycling Scheme for Forest Monitoring

Zhang

De-ming

Joe³

2017

J Inf Process Syst

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Wireless sensor networks for forest monitoring are typically deployed in fields in which manual intervention cannot be easily accessed. An interesting approach to extending the lifetime of sensor nodes is the use of energy harvested from the environment. Design constraints are application-dependent and based on the monitored environment in which the energy harvesting takes place. To reduce energy consumption, we designed a power management scheme that combines dynamic duty cycle scheduling at the network layer to plan node duty time. The dynamic duty cycle scheduling is realized based on a tier structure in which the network is concentrically organized around the sink node. In addition, the multi-paths preserved in the tier structure can be used to deliver residual packets when a path failure occurs. Experimental results show that the proposed method has a better performance.

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