Jitter based comparisons for routing protocols in mobile ad hoc networks

Talooki, Vahid Nazari; Rodriguez, Jonathan

doi:10.1109/icumt.2009.5345590

Cited by 5 publications

(3 citation statements)

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“…In proactive protocols, in which routing techniques are either link-state or distance vector, nodes try to find all possible routes for each source-sink pairs regardless of the use or need of such routes. But in reactive protocols, in which routing techniques are either source routing or hop-by-hop, routes are created only when a source node requests and requires them [103]. A malicious node, especially in a proactive approach, can advertise lots of new routes to the nonexistent nodes in the networks to overflow other node's routing tables.…”

Section: Routing Table Overflowmentioning

confidence: 98%

Security concerns and countermeasures in network coding based communication systems: A survey

et al. 2015

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Section: Routing Table Overflowmentioning

confidence: 98%

Security concerns and countermeasures in network coding based communication systems: A survey

et al. 2015

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“…An example of a multipath mesh network can be observed in figure 1. In [20], the authors study the jitter in Ad Hoc networks using different protocols. They obtain average jitters up to 0.1 msec.…”

Section: Related Workmentioning

confidence: 99%

“…The amount of subdecoders the RLNC multigeneration protocol has is 4. The MTU is 1500 bytes, and the propagation time, data rate, and jitter are taken from [9,20].…”

Section: Multiple Generations In One Codermentioning

confidence: 99%

Network-Coded Multigeneration Protocols in Heterogeneous Cellular Networks

Torre

Pandi

Fitzek

2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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In the upcoming era of 5G, the number of devices will increase massively, defining a heterogeneous wireless network. Nodes will be gathered in Mobile Clouds, and communicate between peers to achieve a general benefit. To provide packet resilience, error correction codes will be used. In particular, Random Linear Network Coding is standing out as one of the most successful ones. The interplay between Network Coding and Mobile Clouds creates a mesh network where nodes may receive information from multiple sources. However, RLNC was optimized to provide in-order-delay in D2D communications. RLNC need to adapt to a new heterogeneous mesh network where nodes receive packets from multiple paths. In this paper, we propose a method to improve conventional RLNC protocols by making them be able to manage multiple generations simultaneously. We also identify possible trade-offs between conventional RLNC protocols and our new approach. We conclude that multigeneration protocols have better behavior in terms of throughput and resilience, but the average latency per packet decoded is higher.

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