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The dynamic source routing protocol for mobile ad-hoc networks

J. Broach
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The article was published on 1998-01-01 and is currently open access. It has received 1501 citations till now. The article focuses on the topics: Optimized Link State Routing Protocol & Ad hoc wireless distribution service.

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Proceedings ArticleDOI

A new routing scheme based on the terminal mobility in mobile ad-hoc networks

TL;DR: A new routing scheme based on the terminal mobility in mobile ad-hoc networks is proposed, which shows that the mean call dropping time in the proposed scheme are much lower than that in the other conventional schemes.
Proceedings ArticleDOI

Improved cluster based route discovery algorithm for ad-hoc networks

TL;DR: This paper emphasizes the shortest path finding between the source and destination in cluster based adhoc network for reducing packet delay and energy consumption and includes a performance comparison of this logic with existing SDSSR algorithm.
Journal ArticleDOI

Load Balanced and Link Break Prediction Routing Protocol for Mobile Ad Hoc Networks

TL;DR: A Load balanced and Link Break Prediction Routing Protocol (LBALBP) for Mobile Ad hoc Networks and Simulation results show that the proposed protocol outperforms AODV in terms of packet delivery ratio, delay, throughput and no.
Proceedings ArticleDOI

On the effect of user mobility and density on the performance of ad-hoc mobile networks

TL;DR: The AODV protocol behaves well in networks of high user density and low mobility rate, while its performance drops for sparse networks of highly mobile users, while the RUNNERS protocol seems to tolerate well (and in fact benefit from) high mobility rates and low densities.
Journal ArticleDOI

A Simulation Based Performance Comparison of AODV and DSDV Mobile Ad Hoc Networks

TL;DR: In this work, an attempt has been made to understand the characteristics/behavior of Ad hoc On Demand Distance Vector and Destination Sequence Distance Vector routing protocols when operating in more challenging environment such as frequent change in network topology and node density.