An Energy-Efficient Cross-Layer approach for cloud wireless green communications
In wireless sensor networks (WSN), energy consumption is one of the crucial issues. It is very important to conserve energy at each sensor node to prolong a network lifetime. The main challenge in WSN is to develop an energy efficient algorithm to minimize energy consumption during transmitting info...
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ump-185352018-08-10T07:30:52Z http://umpir.ump.edu.my/id/eprint/18535/ An Energy-Efficient Cross-Layer approach for cloud wireless green communications Sadiq, Ali Safa Almohammad, Turfah Zeyad Rabiatul Adawiah, Muhamed Khadri Ahmed, Abdulghani Ali Lloret, Jaime QA75 Electronic computers. Computer science In wireless sensor networks (WSN), energy consumption is one of the crucial issues. It is very important to conserve energy at each sensor node to prolong a network lifetime. The main challenge in WSN is to develop an energy efficient algorithm to minimize energy consumption during transmitting information from deployed sensors up to the cloud resources. Many researches have been studied the designing of energy efficient technique based on one-layer stack model approach. In this study, we propose Energy-Efficient Cross-Layer (EECL) approach by using the interaction of MAC layer and physical layer information to be exploited by a network layer to achieve energy efficient communication. More precisely, network layer could utilize the MAC layer and physical layer information to establish an energy efficient route path to be used in forwarding data. The proposed EECL approach uses X-MAC protocol in support of duty cycle which introduces short preambles that switches to wake-up/sensing mode only for nodes belonging to routing path while the other nodes set to be in sleep mode. The distance between nodes that influences energy consumption and Bit Error Rate (BER) are set to be the parameters which they are help in indicating the required power for each hop during route path selection in WSN and avoid the rely-hops that suffering from high average BER and with farther distance. We conduct the experiment using Matlab to evaluate the effectiveness of our proposed approach in terms of power consumption and obtained data rate. The results show that our proposed EECL approach outperforms its representatives in the ability of tuning the power utilized in respect with required data rate that could satisfy the desired Quality-of-Service (QoS). IEEE 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18535/1/An%20Energy-Efficient%20Cross-Layer%20Approach1.pdf Sadiq, Ali Safa and Almohammad, Turfah Zeyad and Rabiatul Adawiah, Muhamed Khadri and Ahmed, Abdulghani Ali and Lloret, Jaime (2017) An Energy-Efficient Cross-Layer approach for cloud wireless green communications. In: Second International Conference on Fog and Mobile Edge Computing (FMEC), 8-11 May 2017 , Valencia, Spain. pp. 230-234. (16963961). ISBN 978-1-5386-2859-1 https://doi.org/10.1109/FMEC.2017.7946436 |
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QA75 Electronic computers. Computer science Sadiq, Ali Safa Almohammad, Turfah Zeyad Rabiatul Adawiah, Muhamed Khadri Ahmed, Abdulghani Ali Lloret, Jaime An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
description |
In wireless sensor networks (WSN), energy consumption is one of the crucial issues. It is very important to conserve energy at each sensor node to prolong a network lifetime. The main challenge in WSN is to develop an energy efficient algorithm to minimize energy consumption during transmitting information from deployed sensors up to the cloud resources. Many researches have been studied the designing of energy efficient technique based on one-layer stack model approach. In this study, we propose Energy-Efficient Cross-Layer (EECL) approach by using the interaction of MAC layer and physical layer information to be exploited by a network layer to achieve energy efficient communication. More precisely, network layer could utilize the MAC layer and physical layer information to establish an energy efficient route path to be used in forwarding data. The proposed EECL approach uses X-MAC protocol in support of duty cycle which introduces short preambles that switches to wake-up/sensing mode only for nodes belonging to routing path while the other nodes set to be in sleep mode. The distance between nodes that influences energy consumption and Bit Error Rate (BER) are set to be the parameters which they are help in indicating the required power for each hop during route path selection in WSN and avoid the rely-hops that suffering from high average BER and with farther distance. We conduct the experiment using Matlab to evaluate the effectiveness of our proposed approach in terms of power consumption and obtained data rate. The results show that our proposed EECL approach outperforms its representatives in the ability of tuning the power utilized in respect with required data rate that could satisfy the desired Quality-of-Service (QoS). |
format |
Conference or Workshop Item |
author |
Sadiq, Ali Safa Almohammad, Turfah Zeyad Rabiatul Adawiah, Muhamed Khadri Ahmed, Abdulghani Ali Lloret, Jaime |
author_facet |
Sadiq, Ali Safa Almohammad, Turfah Zeyad Rabiatul Adawiah, Muhamed Khadri Ahmed, Abdulghani Ali Lloret, Jaime |
author_sort |
Sadiq, Ali Safa |
title |
An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
title_short |
An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
title_full |
An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
title_fullStr |
An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
title_full_unstemmed |
An Energy-Efficient Cross-Layer approach for cloud wireless green communications |
title_sort |
energy-efficient cross-layer approach for cloud wireless green communications |
publisher |
IEEE |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/18535/ http://umpir.ump.edu.my/id/eprint/18535/ http://umpir.ump.edu.my/id/eprint/18535/1/An%20Energy-Efficient%20Cross-Layer%20Approach1.pdf |
first_indexed |
2023-09-18T22:26:18Z |
last_indexed |
2023-09-18T22:26:18Z |
_version_ |
1777415989740175360 |