{"title":"Performance evaluation of the wireless sensor with renewable energy, impatience, and heterogeneous energy requirements","authors":"Shun-Ping Chung, Mei-Jun Liao, Li Yang","doi":"10.1049/iet-wss.2019.0155","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Wireless sensors are utilised to transmit data through the wireless sensor network. The authors consider wireless sensors with a limited energy capacity that needs the energy to complete the transmission service. To extend the lifetime of the wireless sensor, it is assumed that the renewable energy resource, e.g. solar energy, is collected via the energy harvesting method. In order to provide a better bit error rate or data rate, the energy requirement of a packet may be more than one unit of energy. Furthermore, a packet may leave without finishing the service due to impatience if the patient interval is exceeded. They focus on one wireless sensor with one server and two finite queues: one packet queue and one energy queue. In the authors’ system, there are two classes of impatient customers, and each customer has to consume one or two units of energy to finish the service. First, they derive the analytical model for the considered system and find the steady-state probability distribution and performance measures of interest. Next, the impacts of different system parameters on the performance measures are studied. Last but not least, the analytical results are shown to be in good agreement with the simulation results.</p>\n </div>","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-wss.2019.0155","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/iet-wss.2019.0155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Wireless sensors are utilised to transmit data through the wireless sensor network. The authors consider wireless sensors with a limited energy capacity that needs the energy to complete the transmission service. To extend the lifetime of the wireless sensor, it is assumed that the renewable energy resource, e.g. solar energy, is collected via the energy harvesting method. In order to provide a better bit error rate or data rate, the energy requirement of a packet may be more than one unit of energy. Furthermore, a packet may leave without finishing the service due to impatience if the patient interval is exceeded. They focus on one wireless sensor with one server and two finite queues: one packet queue and one energy queue. In the authors’ system, there are two classes of impatient customers, and each customer has to consume one or two units of energy to finish the service. First, they derive the analytical model for the considered system and find the steady-state probability distribution and performance measures of interest. Next, the impacts of different system parameters on the performance measures are studied. Last but not least, the analytical results are shown to be in good agreement with the simulation results.
期刊介绍:
IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.