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Proceedings ArticleDOI

Algorithm for multicast opportunistic routing in wireless mesh networks

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TLDR
The proposed scheme of Multicast Opportunistic Routing (MOR) in WMNs is based on the broadcast transmissions and Learning Au-tomata (LA) to expand the potential candidate nodes that can aid in the process of retransmission of the data.
Abstract
Multi-hop Wireless Mesh Networks (WMNs) is a promising new technique for communication with routing protocol designs being critical to the effective and efficient of these WMNs. A common approach for routing traffic in these networks is to select a minimal distance from source to destination as in wire-line networks. Opportunistic Routing(OR) makes use of the broadcasting ability of wireless network and is especially very helpful for WMN because all nodes are static. Our proposed scheme of Multicast Opportunistic Routing(MOR) in WMNs is based on the broadcast transmissions and Learning Au-tomata (LA) to expand the potential candidate nodes that can aid in the process of retransmission of the data. The receivers are required to be in sync with one another in order to avoid duplicated broadcasting of data which is generally achieved by formulating the forwarding candidates according to some LA based metric. The most adorable aspect of this protocol is that it intelligently "learns" from the past experience and improves its performance. The results obtained via this approach of MOR, shows that the proposed scheme outperforms with some existing sachems and is an improved and more effective version of opportunistic routing in mesh network.

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Citations
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Journal ArticleDOI

An optimized distributed secure routing protocol using dynamic rate aware classified key for improving network security in wireless sensor network

TL;DR: A dynamic rate aware classified key distributional secure routing (DRCKDS) is proposed, in which the sensor nodes maintain various factors related to the neighbor like energy, transmission involvement, rate of success and so on.
References
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Journal ArticleDOI

Learning Automata-based Opportunistic Data Aggregation and Forwarding scheme for alert generation in Vehicular Ad Hoc Networks

TL;DR: A Learning Automata-based Opportunistic Data Aggregation and Forwarding (LAODAF) scheme for alert generation in VANETs, which will reduce network congestion and the load on the network as it is aggregated and forwarded only when required.
Proceedings ArticleDOI

Optimal forwarder list selection in opportunistic routing

TL;DR: A general theory for analyzing the forwarder list selection problem is established, and an optimal solution is developed, the minimum transmission selection (MTS) algorithm, which minimizes the expected number of transmissions and it can be incorporated into existing opportunistic routing protocols to select optimal forwarder lists.
Journal ArticleDOI

Survey on diversity-based routing in wireless mesh networks: Challenges and solutions

TL;DR: The aim of this survey is to examine how opportunistic forwarding and network coding can achieve performance gains by performing hop-by-hop route construction and by encoding data packets at intermediate nodes.
Journal ArticleDOI

LSGO: Link State aware Geographic Opportunistic routing protocol for VANETs

TL;DR: A Link State aware Geographic Opportunistic routing protocol (LSGO) which exploits a combination of geographic location and the link state information as the routing metric to improve the reliability of data transmission in a highly dynamic environment is proposed.
Journal ArticleDOI

Routing protocols for inter-vehicular networks: A comparative study in high-mobility and large obstacles environments

TL;DR: This paper presents a comprehensive comparative study in a city environment of eight representative routing protocols for wireless mobile ad hoc networks and inter-vehicular networks developed in recent years, and discusses the strengths and weaknesses of these techniques with regard to their support for highly mobile nodes.
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