{"title":"基于ZigBee收发协议的无线传感器网络能耗性能改进","authors":"O. A. Mohamad","doi":"10.1109/ECAI.2016.7861171","DOIUrl":null,"url":null,"abstract":"One of the major weaknesses of Wireless Sensor Networks (WSNs) is the energy consumption because of limited battery resource and battery replacement or recharging difficulty. The energy consumption can be controlled in WSNs by more than one layer. The research presented in this work aims to reduce the energy consumption in the physical layer because most of the energy consumption occurs in this layer. Furthermore, such use will also enhance energy efficiency, bit error rate (BER), and throughput of the wireless sensor network. In this work, the WSNs nodes are divided into five clusters. Also, four different systems have been proposed according to the type of transceiver technique used in WSNs. The proposed four systems are analyzed, simulated and evaluated with the Additive White Gaussian Noises (AWGN) and Rayleigh flat fading channels. The results show that system 4 achieves the best energy efficiency performance compared with the other three systems at lower SNR up to −4dB. While, system 1 achieves better energy efficiency performance at high Signal to Noise Ratio (SNR) from 23dB and more.","PeriodicalId":122809,"journal":{"name":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"436 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Improved performance of energy consumption in wireless sensor networks based on ZigBee transceiver protocol\",\"authors\":\"O. A. Mohamad\",\"doi\":\"10.1109/ECAI.2016.7861171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the major weaknesses of Wireless Sensor Networks (WSNs) is the energy consumption because of limited battery resource and battery replacement or recharging difficulty. The energy consumption can be controlled in WSNs by more than one layer. The research presented in this work aims to reduce the energy consumption in the physical layer because most of the energy consumption occurs in this layer. Furthermore, such use will also enhance energy efficiency, bit error rate (BER), and throughput of the wireless sensor network. In this work, the WSNs nodes are divided into five clusters. Also, four different systems have been proposed according to the type of transceiver technique used in WSNs. The proposed four systems are analyzed, simulated and evaluated with the Additive White Gaussian Noises (AWGN) and Rayleigh flat fading channels. The results show that system 4 achieves the best energy efficiency performance compared with the other three systems at lower SNR up to −4dB. While, system 1 achieves better energy efficiency performance at high Signal to Noise Ratio (SNR) from 23dB and more.\",\"PeriodicalId\":122809,\"journal\":{\"name\":\"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"volume\":\"436 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECAI.2016.7861171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI.2016.7861171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved performance of energy consumption in wireless sensor networks based on ZigBee transceiver protocol
One of the major weaknesses of Wireless Sensor Networks (WSNs) is the energy consumption because of limited battery resource and battery replacement or recharging difficulty. The energy consumption can be controlled in WSNs by more than one layer. The research presented in this work aims to reduce the energy consumption in the physical layer because most of the energy consumption occurs in this layer. Furthermore, such use will also enhance energy efficiency, bit error rate (BER), and throughput of the wireless sensor network. In this work, the WSNs nodes are divided into five clusters. Also, four different systems have been proposed according to the type of transceiver technique used in WSNs. The proposed four systems are analyzed, simulated and evaluated with the Additive White Gaussian Noises (AWGN) and Rayleigh flat fading channels. The results show that system 4 achieves the best energy efficiency performance compared with the other three systems at lower SNR up to −4dB. While, system 1 achieves better energy efficiency performance at high Signal to Noise Ratio (SNR) from 23dB and more.