A New MSLBOLSR Routing Algorithm

Article Preview

Abstract:

In Optimized Link State Routing Protocol, the choice of Multi-Point Relays is based on connectivity. Based on the connection time, this paper chooses MPR by taking reference in the degree of congestion of link layer of nodes while making a balanced processing of network load. The experimental results have shown that the improved MSLBOLSR(Multidimensional Sense and Load Balanced OLSR) protocol has advanced visibly in terms of the leisure degree of application layer and the time-delay, etc.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

1003-1006

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Chlamtac I , Conti M, Liu J . Mobile Ad Hoc Networking : Imperatives and Challenges [J ] . Ad Hoc Networks , 2003 , 1 (1) : 13 - 64.

DOI: 10.1016/s1570-8705(03)00013-1

Google Scholar

[2] Zhou Xun , Lu Yu , Gao Yu. A Multiple Disjoint Paths Routing Protocol for Ad Hoc Sensor Networks [C]/2006 International Conference on Computer Science and Software Engineering. Chengdu : IEEE press , 2006 : 1502 - 15061.

DOI: 10.1109/wocn.2006.1666623

Google Scholar

[3] CHEN Yan, AN Jian-ping. Analysis and Simulation on Multi-Level Security Mobile Ad Hoc Network Routing Strategy[J]. Computer Simulation. Sep(9): 116-118 (2010).

Google Scholar

[4] ZHANG Hong, YOU Lei, HUANG Rong-bing. The Research of MBOLSR Route Algorithm Based on Multidimensional Balanced[J]. Science Technology and Engineering. Vol. 14 No. 16, 2014: 139-142.

Google Scholar

[5] Zheng Xiangquan, Guo Wei, Liu Renting. A cross-layer load-aware based ant-colony optimization routing protocol for ad hoc networks (CLAOR)[J]. High-tech Communications. 2005, 15(7): 1-7.

DOI: 10.1109/icccas.2004.1346118

Google Scholar

[6] Yang J F, Zhang Y, Yin W T. A Fast Alternating Direction Method for TVL1 L2Signal Reconstruction From Partial Fourier Data[J]. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Compressed Sensing, 2010, 4(2): 288-297.

DOI: 10.1109/jstsp.2010.2042333

Google Scholar