Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Lino, M (Autor) Outra; Leao, E (Autor) Outra; Soares, A (Autor) Outra; Montez, C (Autor) Outra; Francisco Vasques (Autor) FEUP; Moraes, R (Autor) Outra

Revista

Título: Sensors

Vol. 20

Página Final: 4707

ISSN: 1424-3210

Editora: MDPI

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 8 Citações

Outras Informações

ID Authenticus: P-00S-M16

DOI: 10.3390/s20174707

Abstract (EN): The development of flexible and efficient communication mechanisms is of paramount importance within the context of the Internet of Things (IoT) paradigm. IoT has been used for industrial, commercial, and residential applications, and the IEEE 802.15.4/ZigBee standard is one of the most suitable protocols for this purpose. This protocol is now frequently used to implement large-scale Wireless Sensor Networks (WSNs). In industrial settings, it is becoming increasingly common to deploy cluster-tree WSNs, a complex IEEE 802.15.4/ZigBee-based peer-to-peer network topology, to monitor and control critical processes such as those related to oil or gas, mining, or certain specific chemicals. The remote monitoring of critical events for hazards or disaster detection in large areas is a challenging issue, since the occurrence of events in the monitored environment may severely stress the regular operation of the network. This paper proposes theDynamic REconfiguration mechanism of cluster-Tree WSNs(DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication resources to the overloaded branches of the tree based on the accumulated network load generated by each of the sensor nodes. A complete simulation assessment demonstrates the proposed mechanism's efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree networks.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 24