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- W4385392783 abstract "Broadcasting in wireless networks is an essential information dissemination method. However, flooding may cause broadcast storms that produce severe contention, collisions, and delays. In this study, an adaptive probabilistic broadcasting (APB) algorithm is proposed based on neighbor discovery (ND); this approach reduces collision and ensures higher reliability at lower retransmissions. The adaptive algorithm rebroadcasts the broadcast from an INode (a node that has received the broadcast packet) to its 1-hop UNodes (nodes that have not received the broadcast). The node first counts the number of 2-hop INodes that are connected through its 1-hop UNode and the size of UNodes in the 1-hop neighbors; then, it computes the probability of rebroadcasting according to those statistics. The APB uses the rebroadcast delay to determine the forwarding priority of INodes. The APB adaptively adjusts the probability and delay to reduce the number of replications while simultaneously covering more UNodes. The adaptive algorithm effectively reduces the number of retransmissions while ensuring efficiency and reliability. The simulation results show that the number of conflicts, the number of rebroadcasts and average end-to-end delay of the APB are significantly lower than those of the other algorithms, and the reliability is higher than that of the other algorithms." @default.
- W4385392783 created "2023-07-30" @default.
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- W4385392783 date "2023-01-01" @default.
- W4385392783 modified "2023-09-27" @default.
- W4385392783 title "Adaptive Probabilistic Broadcast in Ad Hoc Networks" @default.
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- W4385392783 doi "https://doi.org/10.1007/978-981-99-4761-4_26" @default.
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