Dynamic Path construction in Multi-Hop Wireless Networks

다국어 초록 (Multilingual Abstract)

In the problem of routing in multi-hop wireless networks, to accomplish top of the line to-end throughput, it is vital to locate the "best" way from the source hub to the goal hub. In spite of the fact that a substantial number of steering conventions have been proposed to discover the way with least aggregate transmission check/time for conveying a solitary parcel, such transmission count/time minimizing protocols can't be ensured to accomplish most extreme end-to-end throughput. In this paper, we contend that via painstakingly considering spatial reusability of the remote correspondence media, we can colossally enhance the end-to-end throughput in multi-jump remote systems. To support our contention, we propose spatial reusability-aware single-path routing (SASR) and anypath routing (SAAR) protocols and contrast them and existing single-way steering and anypath steering conventions, individually. Our assessment comes about demonstrate that our conventions fundamentally enhance the end-to-end throughput contrasted and existing conventions. In particular, for single-way steering, the middle throughput pick up will be up to 60 percent, and for every source-goal match, the throughput pick up is as high as 5:3_; for anypath directing, the greatest per-stream throughput pick up is 71.6 percent, while the median gain is up to 13.2 percent.

참고문헌 (Reference)

1 "http://link.aps.org/doi/10.1103/PhysRevLett.90.058701"

2 S. Chachulski, "Trading structurefor randomness in wireless opportunistic routing" 169-180, 2007

3 H. Rahul, "Sourcesync: A distributedwireless architecture for exploiting sender diversity" 171-182, 2010

4 R. Draves, "Routing in multi-radio, multihopwireless mesh networks" 114-128, 2004

5 W. Hu, "Practical opportunistic routingin high-speed multi-rate wireless mesh networks" 127-136, 2013

6 N. M. Jones, "Optimal routing andscheduling for a simple network coding scheme" 352-360, 2012

7 R. P. Laufer, "Multirate Anypath Routing in Wireless Mesh Networks" 37-45, 2009

8 G. Jakllari, "Link positions matter:A noncommutativerouting metric for wireless mesh network" 744-752, 2008

9 M. Pan, "Joint routing and link scheduling for cognitive radio networks under uncertain spectrumsupply" 2237-2245, 2011

10 T. S. Kim, "Improving spatial reusethrough tuning transmit power, carrier sense threshold, and datarate in multihop wireless networks" 366-377, 2006

11 C. E. Perkins, "Highly dynamic destinationsequenceddistance-vector routing (DSDV) for mobile computers" 234-244, 1994

12 S. Biswas, "Exor: Opportunistic multi-hop routingfor wireless networks" 133-144, 2005

13 J. Padhye, "Estimation of link interference in static multi-hop wireless networks" 28-, 2005

14 D. B. Johnson, "Dynamic source routing in adhoc wireless networks" 353 : 153-181, 1996

15 Y. Lin, "Codeor: Opportunistic routing inwireless mesh networks with segmented network coding" 13-22, 2008

16 B. Radunovic, "Anoptimization framework for opportunistic multipath routing inwireless mesh networks" 241-245, 2008

17 C. E. Perkins, "Ad-hoc on-demand distancevector routing" 90-100, 1999

18 J. Broch, "A performance comparison of multi-hop wireless ad hoc networkrouting protocols" 85-97, 1998

19 A. Adya, "A multi-radiounification protocol for IEEE 802.11wireless networks" 344-354, 2004

20 D. S. J. D. Couto, "A highthroughputpath metric for multi-hop wireless routing" 134-146, 2003