A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks

碩士 === 朝陽科技大學 === 資訊與通訊系碩士班 === 100 === Wireless sensor network (WSN) is a power aware wireless networks due to the used energy-limited battery in sensor nodes. Therefore, in this thesis, the energy efficiency of MAC layer is investigated. Thus a low-delay energy efficiency scheduling (LDEES) scheme...

Full description

Bibliographic Details
Main Authors: Li-Ming Wang, 王立銘
Other Authors: Yung-Fa Huang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/33829539236679018543
id ndltd-TW-100CYUT5652014
record_format oai_dc
spelling ndltd-TW-100CYUT56520142015-10-13T21:17:24Z http://ndltd.ncl.edu.tw/handle/33829539236679018543 A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks 無線感測網路MAC層之能量效率研究 Li-Ming Wang 王立銘 碩士 朝陽科技大學 資訊與通訊系碩士班 100 Wireless sensor network (WSN) is a power aware wireless networks due to the used energy-limited battery in sensor nodes. Therefore, in this thesis, the energy efficiency of MAC layer is investigated. Thus a low-delay energy efficiency scheduling (LDEES) scheme is proposed to improve the energy efficiency for the WSN. In this thesis, a ten-point WSN is proposed to investigate the network delay and energy consumptions. Both schemes of with adaptive listening (WAL) and without adaptive listening (WOAL) are proposed to compare the performance of network delay and energy consumptions in WSN. Simulation results show that the network delay is increased with the increasing of duty cycle of nodes. Moreover, the energy consumption is increased with the duty cycle. Furthermore, the WAL scheme can add a hop in one cycle than WOAL scheme without increasing more energy consumptions. Therefore, according to the number of nodes in network, ie. the number of transmission hops in the transmission route, we adjust the duty cycle of nodes to meet the minimum delay and minimize the energy consumption as well. Yung-Fa Huang 黃永發 2012 學位論文 ; thesis 52 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 朝陽科技大學 === 資訊與通訊系碩士班 === 100 === Wireless sensor network (WSN) is a power aware wireless networks due to the used energy-limited battery in sensor nodes. Therefore, in this thesis, the energy efficiency of MAC layer is investigated. Thus a low-delay energy efficiency scheduling (LDEES) scheme is proposed to improve the energy efficiency for the WSN. In this thesis, a ten-point WSN is proposed to investigate the network delay and energy consumptions. Both schemes of with adaptive listening (WAL) and without adaptive listening (WOAL) are proposed to compare the performance of network delay and energy consumptions in WSN. Simulation results show that the network delay is increased with the increasing of duty cycle of nodes. Moreover, the energy consumption is increased with the duty cycle. Furthermore, the WAL scheme can add a hop in one cycle than WOAL scheme without increasing more energy consumptions. Therefore, according to the number of nodes in network, ie. the number of transmission hops in the transmission route, we adjust the duty cycle of nodes to meet the minimum delay and minimize the energy consumption as well.
author2 Yung-Fa Huang
author_facet Yung-Fa Huang
Li-Ming Wang
王立銘
author Li-Ming Wang
王立銘
spellingShingle Li-Ming Wang
王立銘
A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
author_sort Li-Ming Wang
title A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
title_short A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
title_full A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
title_fullStr A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
title_full_unstemmed A Study on Energy Efficiency of MAC Layer in Wireless Sensor Networks
title_sort study on energy efficiency of mac layer in wireless sensor networks
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/33829539236679018543
work_keys_str_mv AT limingwang astudyonenergyefficiencyofmaclayerinwirelesssensornetworks
AT wánglìmíng astudyonenergyefficiencyofmaclayerinwirelesssensornetworks
AT limingwang wúxiàngǎncèwǎnglùmaccéngzhīnéngliàngxiàolǜyánjiū
AT wánglìmíng wúxiàngǎncèwǎnglùmaccéngzhīnéngliàngxiàolǜyánjiū
AT limingwang studyonenergyefficiencyofmaclayerinwirelesssensornetworks
AT wánglìmíng studyonenergyefficiencyofmaclayerinwirelesssensornetworks
_version_ 1718059429271699456