In Mobile ad hoc networks
(MANETs), the mobile nodes are communicating trough wireless medium. The
protocol designs of MANETs are based on a traditional approach which has been
found ineffective to deal congestion related problems. Hence, it is affecting
properties of physical layer, the network layer and transport layer. This paper
proposes a novel design approach, deviating from the traditional network design,
towards enhancing the cross-layer interaction among different layers, namely
physical, MAC and network. The novel approach for congestion control is to
solve congestion and mobility related problems with a cross layer interaction.The significance ofCLCC is thatit has used two mechanisms: (i)
Dynamic Transmission Power Control algorithm that predicts a link breakage if
it is likely to happen, (ii) Dynamic Congestion Estimation Technique, which
analyzes traffic fluctuation and categorize congestion status perfectly.The proposed protocol reduces the
route breakage and network congestion, hence reduces the control overhead and
latency, and increases the packet delivery ratio. Through simulation, it is
shown that the proposed protocol is simple, robust and effective.
References
[1]
Park, S. and Yoo, S.-M. (2013) An Efficient Reliable One-Hop Broadcast in Mobile Ad Hoc Networks. Ad Hoc Networks, 11, 19-28. http://dx.doi.org/10.1016/j.adhoc.2012.03.021
[2]
Goldsmith, J. and Wicker, S.B. (2002) Design Challenges for Energy Constrained Ad-Hoc Wireless Networks. IEEE Wireless Communication, 9, 8-27. http://dx.doi.org/10.1109/MWC.2002.1028874
[3]
Kawadia, V. and Kumar, P.R. (2005) Principles and Protocols for Power Control in Wireless Ad-Hoc Networks. IEEE Journal on Selected Areas in Communication, Part I, 23, 78-88. http://dx.doi.org/10.1109/jsac.2004.837354
[4]
(2001) The National Science Foundation and Office of Naval Research Jointly Held a Workshop on Cross-Layer Design in Adaptive Ad Hoc Networks.
[5]
Srivastava, V. and Motani, M. (2005) Cross Layer Design: A Survey and the Road ahead. IEEE Communication Magazine, 43, 112-119. http://dx.doi.org/10.1109/MCOM.2005.1561928
[6]
Foukalas, F., Gazis, V. and Alonistioti, N. (2008) Cross-Layer Design Proposals for Wireless Mobile Networks: A Survey and Taxonomy”, University of Athens. IEEE Communications Surveys and Tutorials, 10, 70-84. http://dx.doi.org/10.1109/COMST.2008.4483671
[7]
Lochert, C., Scheuermann, B. and Mauve, M. (2007) A Survey on Congestion Control for Mobile Ad-Hoc Networks. Wiley Wireless Communications and Mobile Computing, 7, 655-676. http://dx.doi.org/10.1002/wcm.524
[8]
Senthilkumaran,T. and Sankaranarayanan, V. (2013) Dynamic Congestion Detection and Control Routing in Ad Hoc Networks. Journal of King Saud University-Computer and Information Sciences, 25, 165-175. http://dx.doi.org/10.1016/j.jksuci.2012.05.004
[9]
Senthilkumaran,T. and Sankaranarayanan, V. (2011) Early Congestion Detection and Adaptive Routing in MANET. Egyptian Informatics Journal, 12, 65-175. http://dx.doi.org/10.1016/j.eij.2011.09.001
[10]
Ahmed, A.S., Kumaran, T.S., Syed, S.S.A. and Subburam, S. (2015) Cross-Layer Design Approach for Power Control in Mobile Ad Hoc Networks. Egyptian Informatics Journal, 16, 1-7. http://dx.doi.org/10.1016/j.eij.2014.11.001
[11]
Floyd, S. and Jacobson, V. (1993) Random Early Detection Gateways for Congestion Avoidance. IEEE/ACM Transaction on Networking, 1, 397-413. http://dx.doi.org/10.1109/90.251892
[12]
Floyd, S. (2000) Recommendation on Using the “Gentle” Variant of RED.
[13]
Floyd, S., Gummadi, R. and Shenker, S. (2001) Adaptive RED: An Algorithm for Increasing the Robustness of RED’s Active Queue Management.
[14]
Tran, D.A. and Raghavendra, H. (2006) Congestion Adaptive Routing in Mobile Ad Hoc Networks. IEEE Transactions on Parallel and Distributed Systems, 17, 16-28. http://dx.doi.org/10.1109/tpds.2006.151