Data networks
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
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
Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
Communication nets; stochastic message flow and delay
Communication nets; stochastic message flow and delay
Queuing network models for delay analysis of multihop wireless ad hoc networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Automated routing protocol selection in mobile ad hoc networks
Proceedings of the 2007 ACM symposium on Applied computing
The capacity of wireless networks
IEEE Transactions on Information Theory
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
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Different deployments of mobile ad hoc networks (MANETs) can have widely varying characteristics that greatly impact the behavior of different routing protocols created for these networks. Before applications can be deployed in such environments, it is important for developers to understand the potential quantitative behavior of the protocols that support their applications. Analytical models exist to describe the behavior of MANETs, but they are restricted to simplistic statistical models that represent either node mobility or link connectivity individually without considering the interplay of the two and other important aspects of MANETs. Our previous work has begun developing an integrated analytical framework which considers the impact the physical environment, network characteristics, protocols' behaviors, and the applications' communication patterns have on performance. In this paper, we focus specifically on analytical model to account for the subtleties of message queueing in MANETs. Our analysis explains a delay of a data packet in a mobile node under homogeneous conditions in a node mobility and traffic. This resulting model is expressed with parameters which are obtainable from systems, application designers and a operating environment. We describe our system and derive the delay model. We validate our analytical result through network simulation and discuss potential limitations of the model and future works.