A hybrid adaptive routing protocol for extreme emergency ad hoc communication
| Autor: | Tipu Arvind Ramrekha, Christos Politis |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Routing protocol
Dynamic Source Routing Computer science Wireless ad hoc network Distributed computing Enhanced Interior Gateway Routing Protocol Mobile computing Wireless Routing Protocol 02 engineering and technology Routing Information Protocol Next-generation network 0202 electrical engineering electronic engineering information engineering Destination-Sequenced Distance Vector routing Hierarchical routing 020203 distributed computing Zone Routing Protocol Static routing Adaptive quality of service multi-hop routing business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Policy-based routing Path vector protocol 020206 networking & telecommunications Mobile ad hoc network Ad hoc wireless distribution service Distance-vector routing protocol Link-state routing protocol Routing domain Optimized Link State Routing Protocol Interior gateway protocol Hazy Sighted Link State Routing Protocol business Computer network |
| Zdroj: | ICCCN |
| DOI: | 10.1109/ICCCN.2010.5560057 |
| Popis: | The autonomous nature of Mobile Ad hoc Networks (MANETs) makes them suitable for the support of extreme emer- gency rescuer IP communications for next generation networks. A major hurdle towards the deployment of emergency MANETs (eMANETs) is the design of a distributed routing protocol that can adapt to its highly dynamic topology where the number of nodes in the network frequently varies. This paper presents ChaMeLeon (CML), a hybrid and adaptive routing protocol designed to adapt to the rapid topological changes in extreme emergency MANETs (eMANETs) when operating within a pre- defined disaster area. CML adaptively changes its routing behav- ior according to the number of nodes in the network, so that it can provide a more efficient routing approach than purely proactive or reactive routing protocols for varying size networks. The protocol can operate in one of three routing phases which are the reactive phase (R-phase) for large networks, proactive phase (P-phase) for small networks and oscillation phase (O-phase) for phase transitions based on a network size threshold. This threshold is determined using simulation based performance statistics of the purely reactive or proactive routing protocols. We then present results to demonstrate that CML outperforms its routing counterparts over the simulated range of network sizes and particular critical area. |
| Databáze: | OpenAIRE |
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