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  • 标题:Updating the Routing Position in Adhoc Networks by using Adaptive Position
  • 本地全文:下载
  • 作者:Ravi Kumar Poluru ; T. Sunil Kumar Reddy ; D.Nagaraju
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:10
  • 期号:3
  • 页码:160-166
  • DOI:10.14445/22312803/IJCTT-V10P127
  • 出版社:Seventh Sense Research Group
  • 摘要:In geographic routing, nodes to theirinstantaneous neighbors call for to maintain uptodate positions for making successfulforwarding decisions. The geographic location coordinates of the nodes by the periodic broadcasting of beacon packetsis atrendy method used by the majority geographic routing protocols to preserve neighbor positions. We contend and display that periodicbeaconing apart from of the node mobility and traffic patterns in the network is not nicelooking from both update cost and routingrecital points of view. We recommend the Adaptive Position Update (APU) strategy for geographic routing, which enthusiasticallyadjusts the occurrence of position updates based on the mobility dynamics of the nodes and the forwarding patterns in the system. APUis based on two easy principles 1) nodes whose arrangements are harder to guess update their positions more recurrently (and viceversa), and (ii) nodes faster to forwarding paths update their positions more recurrently (and vice versa). Our speculative analysis, whichis validated by NS2 simulations of a wellknown geographic routing procedure, Greedy Perimeter Stateless Routing Protocol (GPSR),shows that APU can drastically reduce the update cost and pick up the routing performance in terms of packet delivery ratio andregular endtoend delay in assessment with periodic beaconing and other recently proposed updating schemes. The benefits of APUare additional confirmed by responsibility evaluations in realistic network scenarios, which account for localization error, practical radiopropagation, and sparse system.
  • 关键词:Wireless Communication; protocol analysis; routing algorithms; Mobility Prediction; on-demand Rule.
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