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      Proposing new routing protocol based on chaos algorithm

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      Author(s)
      Majdi, Ali
      Date
      2022-05-09
      Source Title
      Review of Computer Engineering Research
      Print ISSN
      24109142
      Publisher
      Conscientia Beam
      Volume
      9
      Issue
      1
      Pages
      55 - 70
      Language
      English
      Type
      Article
      Item Usage Stats
      4
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      Abstract
      In MANET, the multicast routing is considered a non-deterministic polynomial (NP) complexity, it contains assorted objectives and restrictions. In the multicast issue of MANET, the quality of services (QoS) based upon cost, delay, jitter, bandwidth, are constantly deemed as multi-objective for directing multicast routing protocols (MR). Conversely, a mobile node has finite battery energy and the lifetime of a network depends on its mobile node battery energy. Here, the MR problem of MANET has five objectives vis-a-vis the optimization of cost, delay, jitter, bandwidth, and network lifetime with the help of Chaotic-CSA-ROA. Here, evaluation metrics, via delay, delivery ratio, drop, Network lifespan, overhead and throughput are analyzed with node, rate, and speed. The proposed QOS-MRP-CSROA-MANET provides higher throughput at the node between 32.9496% and 65.5839%, and higher throughput in rate as 16.6049% and 30.4654%, higher throughput in speed as 10.1298% and 7.0825%, low packet drop in node as 63.7313% and 52.2255%, low packet drop in rate as 51.5528% and 25.6220%, low packet drop in speed as 18.0857% and 24.5953% compared with existing methods, like QoS aware of multicast routing protocol using particle swarm optimization algorithm in MANET (QOS-MRP-PSOA-MANET) and QoS aware of multicast routing protocol using a genetic algorithm in MANET (QOS-MRP-GA-MANET) respectively.
      Keywords
      Chaos integrated cuckoo search
      Rider optimization algorithm
      MANET
      Data transmission
      Multicast routing protocol
      Cost
      Permalink
      http://hdl.handle.net/11693/111734
      Published Version (Please cite this version)
      https://dx.doi.org/10.18488/76.v9i1.2992
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