Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
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
Scenario-based performance analysis of routing protocols for mobile ad-hoc networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Analysis of TCP performance over mobile ad hoc networks
Wireless Networks - Selected Papers from Mobicom'99
Predictive distance-based mobility management for multidimensional PCS networks
IEEE/ACM Transactions on Networking (TON)
Ad hoc on-demand multipath distance vector routing: Research Articles
Wireless Communications & Mobile Computing - Wireless Ad Hoc Networks: Technologies and Challenges
Impact of Realistic Mobility Models on Wireless Networks Performance
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Quantifying Network Partitioning in Mobile Ad Hoc Networks
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
A Minimum Interference Cross-Layer Routing Protocol for Mobile Ad Hoc Networks
Wireless Personal Communications: An International Journal
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Mobile ad hoc networks (MANETs) will play a vital role in civilian and military applications where users move around and share information with each other. The movement of users varies depending on the environment, e.g. people may move randomly in different directions (Random Waypoint and Gauss Markov mobility models); or walk, run and drive in two directions in the street (Manhattan Mobility Model); or move as a group (Reference Point Group Mobility model). The interaction between mobility patterns and routing protocols contributes significantly to vary the overall network performance. We build an analytical framework that shows an analysis structure for the overall network performance test. In this framework, we first compare the properties of the mobility models that are designated for MANETs. Second, we measure single path (proactive and reactive) and multipath (proactive and reactive) routing protocols across the mobility models by tuning into TCP and CBR traffic individually. Finally, we examine the performance of each routing protocol across mobility models and discuss the possibility of interaction between them. Most of the previous findings only evaluate the impact of mobility models and single path routing protocols with CBR traffic, whereas a significant finding of this study is that how the interaction between mobility models and single path and multipath routing protocols varies depending on the usage of traffic (TCP and CBR).