A Wireless Sensor Network Model considering Energy Consumption Balance

A Wireless Sensor Network Model considering Energy Consumption Balance

In order to solve the contradiction between service quality and survival time of wireless sensor networks, a new energy consumption balance model is proposed by shuffled frog leaping algorithm (SFLA). In this model, the mathematical expression of energy consumption in the physical layer is given wit...

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Main Authors: Chunliang Zhou, Ming Wang, Weiqing Qu, Zhengqiu Lu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/8592821
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spelling doaj-740c7833bd204c82b728f76fa2210e282020-11-24T23:17:01ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/85928218592821A Wireless Sensor Network Model considering Energy Consumption BalanceChunliang Zhou0Ming Wang1Weiqing Qu2Zhengqiu Lu3Ningbo Dahongying University, Ningbo, ChinaCollege of Engineering, Lishui University, Lishui, ChinaNingbo Dahongying University, Ningbo, ChinaNingbo Dahongying University, Ningbo, ChinaIn order to solve the contradiction between service quality and survival time of wireless sensor networks, a new energy consumption balance model is proposed by shuffled frog leaping algorithm (SFLA). In this model, the mathematical expression of energy consumption in the physical layer is given with transmit power at first, received power, and signal bandwidth, and the objective optimization function of energy consumption balance is built by the total sending energy consumption and transmission power of WSN. Secondly, the long-range dependent characteristic of signal is reduced with wavelet neural network, and the objective optimization function above is solved by shuffled frog leaping algorithm. Finally, the performances between this algorithm and others are studied in simulation experiment, and the results show that this algorithm has greater advantages such as the error frame, the number of survival nodes, and the network lifetime.http://dx.doi.org/10.1155/2018/8592821
collection DOAJ
language English
format Article
sources DOAJ
author Chunliang Zhou
Ming Wang
Weiqing Qu
Zhengqiu Lu
spellingShingle Chunliang Zhou
Ming Wang
Weiqing Qu
Zhengqiu Lu
A Wireless Sensor Network Model considering Energy Consumption Balance
Mathematical Problems in Engineering
author_facet Chunliang Zhou
Ming Wang
Weiqing Qu
Zhengqiu Lu
author_sort Chunliang Zhou
title A Wireless Sensor Network Model considering Energy Consumption Balance
title_short A Wireless Sensor Network Model considering Energy Consumption Balance
title_full A Wireless Sensor Network Model considering Energy Consumption Balance
title_fullStr A Wireless Sensor Network Model considering Energy Consumption Balance
title_full_unstemmed A Wireless Sensor Network Model considering Energy Consumption Balance
title_sort wireless sensor network model considering energy consumption balance
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description In order to solve the contradiction between service quality and survival time of wireless sensor networks, a new energy consumption balance model is proposed by shuffled frog leaping algorithm (SFLA). In this model, the mathematical expression of energy consumption in the physical layer is given with transmit power at first, received power, and signal bandwidth, and the objective optimization function of energy consumption balance is built by the total sending energy consumption and transmission power of WSN. Secondly, the long-range dependent characteristic of signal is reduced with wavelet neural network, and the objective optimization function above is solved by shuffled frog leaping algorithm. Finally, the performances between this algorithm and others are studied in simulation experiment, and the results show that this algorithm has greater advantages such as the error frame, the number of survival nodes, and the network lifetime.
url http://dx.doi.org/10.1155/2018/8592821
work_keys_str_mv AT chunliangzhou awirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT mingwang awirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT weiqingqu awirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT zhengqiulu awirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT chunliangzhou wirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT mingwang wirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT weiqingqu wirelesssensornetworkmodelconsideringenergyconsumptionbalance
AT zhengqiulu wirelesssensornetworkmodelconsideringenergyconsumptionbalance
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