A simulation study on a WSN for emergency management
A simulation study on a WSN for emergency management
Venue & metadata
- Journal/Proceedings: Proceedings - European Council for Modelling and Simulation, ECMS
- Volume: 34
- Number: 1
- Pages: 384 – 392
- Note: Cited by: 2
- Author keywords: Emergency management; Internet of things; ns-3; Performance evaluation; Simulation; Wireless sensor networks
Abstract
Wireless Sensors Networks (WSN) are one of the ways to provide the communication infrastructure for advanced applications based on the Internet of Things (IoT) paradigm. IoT supports high level applications over WSN to provide services in a number of fields. WSN are also suitable to support critical applications, as the supporting technologies are consolidated and standard network services can be used on top of the specific layers. Furthermore, generic distributed or network-enabled software can be run over the nodes of a WSN. In this paper we evaluate and compare performances of IEEE 802.llg and 802.1 In, two implementations of the popular Wi-Fi technology, to support the deployment and utilization of an energy management support system, used to monitor the field by a team of firefighters during a mission. Evaluation on an example scenario is done by using ns-3, an open network simulator characterized by its realistic details, to understand the actual limitations of the two standards besides theoretical limits. © ECMS Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther.
Keywords
Human resource management GS IEEE Standards GS Risk management GS Wireless sensor networks GS Advanced applications GS Communication infrastructure GS Critical applications GS High level applications GS Internet of thing (IOT) GS Management support systems GS Supporting technology GS Wireless sensors networks GS Internet of things GS
Links & artifacts
Suggested citation
Campanile, L., Iacono, M., Marulli, F., & Mastroianni, M. (2020). A simulation study on a WSN for emergency management [Conference paper]. Proceedings - European Council for Modelling and Simulation, ECMS, 34(1), 384–392. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094937629&partnerID=40&md5=69ee7b771d76c72bd5012883b86e67ca