A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Performance Evaluation of Destination-Sequenced Distance-Vector (DSDV) Routing Protocol
ICFN '09 Proceedings of the 2009 International Conference on Future Networks
Performance Evaluation and Analysis of Cluster Based Routing Protocols in MANETs
ACT '09 Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies
A K-hop passive cluster based routing protocol for MANET
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Simulation and Analysis of Optimized OLSR
MINES '10 Proceedings of the 2010 International Conference on Multimedia Information Networking and Security
Evaluation of Ad Hoc Networks in Disaster Scenarios
INCOS '11 Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems
A management Ad Hoc networks model for rescue and emergency scenarios
Expert Systems with Applications: An International Journal
Energy Efficient and Scalable Routing Protocol for Extreme Emergency Ad Hoc Communications
Mobile Networks and Applications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Advanced Engineering Informatics
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A mobile Ad Hoc network (MANET) is a collection of wireless mobile nodes that can dynamically configure a network without a fixed infrastructure or central administration. This makes it ideal for emergency and rescue scenarios, where sharing information is essential and should occur as soon as possible. This article discusses which of the routing strategies for mobile MANETs: proactive, reactive or hierarchical, has a better performance in such scenarios. By selecting a real urban area for the emergency and rescue scenario, we calculated the density of nodes and the mobility model needed for the validation study of AODV, DSDV and CBRP in the routing model. The NS2 simulator has been used for our study. We also show that the hierarchical routing strategies are better suited for this type of scenarios.