Extended Neighborhood Knowledge based Dominant Pruning (ExDP)

Anannya, Tasmiah Tamzid; Rahman, Ashikur

doi:10.1109/nsyss.2018.8631388

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…The Scalable Broadcast Algorithm [33] is similar to self-pruning but uses Hello messages to propagate 2-hop neighbour knowledge. Extended Neighbourhood Knowledge based Dominant Pruning is proposed in [34] and uses a dominant pruning technique to decrease the number of unnecessary broadcast packets by using 3-hop Neighbour connectivity information. In dominant pruning, source nodes choose some of their neighbours that are allowed to rebroadcast.…”

Section: A Broadcasting Mechanismsmentioning

confidence: 99%

A Novel Cross-Layer Adaptive Fuzzy-Based Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs

et al. 2023

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One of the essential processes in Mobile Ad hoc Networks (MANETs) is blind flooding to discover routes between source and destination mobile nodes. As the density of nodes in the network increases, the number of broadcast packets increases exponentially. This can lead to broadcast storms, a drain on the device's battery, and reduced network efficiency. We propose a Cross-layer Adaptive Fuzzy-based Ad hoc On-Demand Distance Vector routing protocol (CLAF-AODV) to minimize the routing broadcast traffic by considering the quality of service (QoS) (e.g. delay, throughput, packet loss), stability, and adaptability of the network. The suggested method employs two-level fuzzy logic and a cross-layer design approach to select the appropriate nodes with a higher probability of participating in broadcasting by considering parameters from the three first layers of the Open Systems Interconnection (OSI) model to achieve a quality of service, stability, and adaptability. It not only investigates the quality of the node and the network density around the node to make a decision but also investigates the path that the broadcast packet traveled to reach this node. Simulation results reveal that our proposed protocol reduces the number of broadcast packets and significantly improves network performance with respect to throughput, packet loss, normalized routing load, collision rate, and average energy consumption compared to the standard AODV and the Fixed Probability AODV (FP-AODV) algorithms.INDEX TERMS Broadcast storm, broadcasting, fuzzy logic, mobile ad hoc network, quality of service, route discovery, routing protocol.

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Section: A Broadcasting Mechanismsmentioning

confidence: 99%