T. M. Tshilongamulenzhe, Topside E. Mathonsi, M. Mphahlele, Deon P. DuPlessis
{"title":"Performance optimization of wireless sensor networks","authors":"T. M. Tshilongamulenzhe, Topside E. Mathonsi, M. Mphahlele, Deon P. DuPlessis","doi":"10.1109/OI.2019.8908209","DOIUrl":null,"url":null,"abstract":"The cost-effective Wireless Sensor Networks (WSNs) technologies are implemented in farmers mostly for monitoring or controlling temperature, humidity and pressure. Furthermore, these technologies consists of collections of nodes organized into corporate networks, where each node consists of processing data packets for one or more fries, which may maintain multiples types of functions within a network. However, these technologies experience challenges such as end-to-end delay and packet losses when multiple packets are being transmitted at the same time and on the same channel between the source node and destination node. This leads to poor network throughput and Quality of Services (QoS) in the network. As a result, this paper proposes the design and implementation of an algorithm which reduces end-to-end delay and packet loss in WSNs. NS-2 simulation results showed that the proposed solution can reduce end-tot-end delay and packets loss.","PeriodicalId":330455,"journal":{"name":"2019 Open Innovations (OI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Open Innovations (OI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OI.2019.8908209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The cost-effective Wireless Sensor Networks (WSNs) technologies are implemented in farmers mostly for monitoring or controlling temperature, humidity and pressure. Furthermore, these technologies consists of collections of nodes organized into corporate networks, where each node consists of processing data packets for one or more fries, which may maintain multiples types of functions within a network. However, these technologies experience challenges such as end-to-end delay and packet losses when multiple packets are being transmitted at the same time and on the same channel between the source node and destination node. This leads to poor network throughput and Quality of Services (QoS) in the network. As a result, this paper proposes the design and implementation of an algorithm which reduces end-to-end delay and packet loss in WSNs. NS-2 simulation results showed that the proposed solution can reduce end-tot-end delay and packets loss.