Logo do repositório
 
Publicação

Performance Optimization of Reconfigurable Real-Time Wireless Sensor Networks

dc.contributor.authorGasmi, Maroua
dc.contributor.authorMosbahi, Olfa
dc.contributor.authorKhalgui, Mohamed
dc.contributor.authorGomes, Luis
dc.contributor.authorLi, Zhiwu
dc.contributor.institutionDEE2010-C1 Sistemas Digitais e Percepcionais
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.pblIEEE Advancing Technology for Humanity
dc.date.accessioned2019-04-08T22:12:31Z
dc.date.available2019-04-08T22:12:31Z
dc.date.issued2020-07
dc.descriptionThis work was supported in part by the LISI Laboratory (INSAT at University of Carthage, Tunisia), in part by the PASRI (Ministry of High Study and Research, Tunisia), in part by the Universidade Nova de Lisboa, Portugal, in part by the Complex Systems Laboratory (Jinan University, China), in part by the European Commission through MOBIDOC Grant, and in part by the Science and Technology Development Fund, MSAR, under Grant 122/2017/A3. This paper was recommended by Associate Editor D. Akopian.
dc.description.abstractWireless sensor networks (WSNs) can be seriously impacted by several changes in behavior. As a measure of optimality, a network should react in real-time. However, even if some reactions can make the system flexible, they can cause significant damages when they are not well-structured. Moreover, the scenarios of reconfigurations can affect several parameters within a wireless sensor network. Among these parameters it is possible to name the energy efficiency, the memory limitation within a node, the real-time constraints at the level of the nodes and the network in general. Either through the application or the transmission of the reconfiguration scenarios, some parameters are severely altered. A metamorphosis of the internal architecture of the nodes is proposed in this research work as well as a policy of communication between several nodes aiming to adapt the network to any change. The resulting proposition offers general efficiency in energy and real-time constraints. The efficiency is realized by the application of a pipelined approach, dealing with the incoming reconfiguration scenarios, and a communication protocol, based on a priority energy and deadline aware scheduling algorithm (a multicriteria scheduling algorithm). This protocol is capable of optimizing the transmission of both reconfiguration scenarios and sensed data simultaneously. The solution is tested on a network connecting several cars during an automobile journey and the results validate the efficiency of this proposition.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent890998
dc.identifier.doi10.1109/TSMC.2018.2824900
dc.identifier.issn2168-2216
dc.identifier.otherPURE: 5601673
dc.identifier.otherPURE UUID: f01f2e16-6545-48ae-9326-991a6c488da8
dc.identifier.otherScopus: 85047211366
dc.identifier.otherWOS: 000544033400028
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85047211366&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85047211366
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCommunication protocol
dc.subjectenergy
dc.subjectmiddleware
dc.subjectMonitoring
dc.subjectOptimization
dc.subjectPipelines
dc.subjectProtocols
dc.subjectReal-time systems
dc.subjectreconfiguration
dc.subjectTask analysis
dc.subjectwireless sensor network.
dc.subjectWireless sensor networks
dc.subjectSoftware
dc.subjectControl and Systems Engineering
dc.subjectHuman-Computer Interaction
dc.subjectComputer Science Applications
dc.subjectElectrical and Electronic Engineering
dc.titlePerformance Optimization of Reconfigurable Real-Time Wireless Sensor Networksen
dc.typejournal article
degois.publication.firstPage2623
degois.publication.issue7
degois.publication.lastPage2637
degois.publication.titleIEEE Transactions on Systems, Man, and Cybernetics: Systems
degois.publication.volume50
dspace.entity.typePublication
rcaap.rightsopenAccess

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
Performance_optimization.pdf
Tamanho:
870.12 KB
Formato:
Adobe Portable Document Format