{"title":"Modelling and simulation frameworks for wireless sensor networks: a comparative study","authors":"Richa Sharma, Vasudha Vashisht, Umang Singh","doi":"10.1049/iet-wss.2020.0046","DOIUrl":null,"url":null,"abstract":"In real-time scenarios, wireless sensor network (WSN) suffers from severe constraints such as restricted power supply, short communication range, less bandwidth availability, and small memory storage. Owing to these severe constraints, the time complexity, space complexity, and cost complexity of these networks are very high. Hence, deploying a real sensor network environment for the testing of a newly designed protocol is a Herculean task. To overcome this issue, instead of doing live implementation of such networks, simulation modelling is accepted as an alternative approach. This study provides a comprehensive study about existing network simulators along with their advantages and weaknesses. This study also presented a case study for a preferable simulation methodology, i.e. MATLAB/Simulink. Firstly, this case study highlights prominent features of MATLAB/Simulink. Secondly, simulation results of implementing AODV (Adhoc on Demand Vector Protocol) in terms of simulation runtime using four simulators net simulator-2 (NS-2), NS-3, OMNet++, and MATLAB is presented. Thirdly, survey of few very well-known clustering protocols in WSNs is done. This study will prove to be beneficial for researchers of this domain as it surveys the literature over the period 2008–2020 focusing on simulation tools and simulation metrics used by researchers to simulate WSNs.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/iet-wss.2020.0046","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: 19
Abstract
In real-time scenarios, wireless sensor network (WSN) suffers from severe constraints such as restricted power supply, short communication range, less bandwidth availability, and small memory storage. Owing to these severe constraints, the time complexity, space complexity, and cost complexity of these networks are very high. Hence, deploying a real sensor network environment for the testing of a newly designed protocol is a Herculean task. To overcome this issue, instead of doing live implementation of such networks, simulation modelling is accepted as an alternative approach. This study provides a comprehensive study about existing network simulators along with their advantages and weaknesses. This study also presented a case study for a preferable simulation methodology, i.e. MATLAB/Simulink. Firstly, this case study highlights prominent features of MATLAB/Simulink. Secondly, simulation results of implementing AODV (Adhoc on Demand Vector Protocol) in terms of simulation runtime using four simulators net simulator-2 (NS-2), NS-3, OMNet++, and MATLAB is presented. Thirdly, survey of few very well-known clustering protocols in WSNs is done. This study will prove to be beneficial for researchers of this domain as it surveys the literature over the period 2008–2020 focusing on simulation tools and simulation metrics used by researchers to simulate WSNs.
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.