Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
On the self-similar nature of Ethernet traffic
ACM SIGCOMM Computer Communication Review - Special twenty-fifth anniversary issue. Highlights from 25 years of the Computer Communication Review
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
A Multiplicative Multifractal Model for TCP Traffic
ISCC '01 Proceedings of the Sixth IEEE Symposium on Computers and Communications
On-Demand Multi Path Distance Vector Routing in Ad Hoc Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Performance evaluation of routing protocols for ad hoc wireless networks
Mobile Networks and Applications
IEEE/ACM Transactions on Networking (TON)
Queue analysis and multiplexing of heavy-tailed traffic in wireless packet data networks
Mobile Networks and Applications
Measurement and analysis of intraflow performance characteristics of wireless traffic
IPOM'07 Proceedings of the 7th IEEE international conference on IP operations and management
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
On the impact of IEEE 802.11 MAC on traffic characteristics
IEEE Journal on Selected Areas in Communications
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The analysis of traffic characteristics can be used for performance evaluation, design and implementation of routing protocols in WMNs (Wireless Mesh Networks). Higher bursty traffic will cause larger queue size, which means more dropping packets, and thus affects other metrics. Because burstiness can be modeled by multi-fractal characteristics effectively, multi-fractal characteristics of mobile node's traffic in WMNs are analyzed with typical proactive and reactive routing protocols, which are DSDV (Destination Sequenced Distance Vector) and AODV (Ad hoc On-demand Distance Vector), respectively. Three types of traffic models are used to generate traffic at application level, which corresponding to open-loop and closed-loop scenarios. With different configurations, the probability distribution of inter-arrival time and multi-fractal characteristics of traffic at mobile node and gateway are analyzed with DSDV and AODV protocols. Results show that inter-arrival time with AODV and DSDV protocols possesses heavy-tailed property. And traffic with DSDV protocol exhibits more multi-fractal characteristics than that with AODV protocol, which can explain the higher routing performance of AODV.