Paper
Dispatching Rescue and Support Teams to Events Using Ad Hoc Networks and Fuzzy Decision Making in Rescue Applications
- Authors:
- Mohammad Samadi Gharajeh; Sohrab Khanmohammadi
- Abstract
- Rescue applications perform rescue operations such as medical emergencies, fire fighting, and earthquake responses. Ad hoc networks are composed of mobile wireless nodes which communicate to one another in order to transmit various messages to a desired centre. Integration of these networks and a knowledge-based system (e.g., fuzzy logic) in rescue applications can improve rescue operations. This paper proposes three methods to dispatch rescue teams to events, select members of the proper team, and dispatch the support teams to event locations. Each of the methods uses an individual fuzzy controller, which works based on prior humanistic knowledge. All vehicles in urban environments are equipped with mobile wireless nodes that construct an ad hoc network. Appropriate decisions are determined based on various messages, which are transmitted from vehicles to a main centre (e.g., fire department). The first method, DMRTFL, selects an appropriate path from the centre to the event location to dispatch rescue teams based on path length, path traffic, passage probability through each path, and arrival time. The second method, SMRTFL, selects proper members for the rescue and support teams based on age, experience, event type, and success probability. The third method, DMSTFL, chooses a suitable centre for dispatching the support teams to an event location based on essential parameters including arrival time, event type, amount of equipment, number of forces, and success probability. Simulation results indicate that the proposed methods surpass existing traffic methods in terms of arrival time.
- Keywords
- Dispatching Method; Rescue Teams; Ad Hoc Networks; Fuzzy Decision Making; Rescue Applications
- StartPage
- 35
- EndPage
- 50
- Doi
- 10.18005/JCSE0301003