Performance analysis of reactive routing protocols in Mobile Ad hoc Networks

Mobile Ad hoc Networks (MANETs) are self-organized infrastructure-less networks, including wireless mobile systems, which have been thoroughly studied and widely used in a variety of applications. Routing mechanisms in MANETs are considered as a major research challenge due to the nature of the network topology, where the nodes are able to move in any direction in the network showing unpredictable behavior. Nodes failures and absence of centralized coordinators are also important challenges in such network configurations. In addition, the routing protocols that are usually exploited in MANETs are characterized as proactive (Table-driven) and reactive (On-demand). In this context, this paper elaborates on a preliminary comparison study among different reactive protocols, such as the Ad hoc On-demand Distance Vector (AODV) and the Dynamic Source Routing (DSR). This comparison was conducted towards investigating the optimum exploitation of such routing protocols in MANETs, in terms of their performance against the number of the nodes in the network.

[1]  George Mastorakis,et al.  Real-time TVWS trading based on a centralized CR network architecture , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[2]  Bharat Bhushan,et al.  Behavioral Study of MANET Routing Protocols , 2011 .

[3]  George Mastorakis,et al.  An energy-efficient routing scheme using Backward Traffic Difference estimation in cognitive radio networks , 2013, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[4]  Ian F. Akyildiz,et al.  A survey on wireless mesh networks , 2005, IEEE Communications Magazine.

[5]  Anil Kumar Sharma,et al.  Behavioral Study of MANET Routing Protocols by using NS-2 , 2011 .

[6]  Ahmed Helmy,et al.  IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[7]  George Mastorakis,et al.  A radio resource management framework for TVWS exploitation under the RTSSM policy , 2012, 2012 International Conference on Telecommunications and Multimedia (TEMU).

[8]  George Mastorakis Digital Dividend: The Path Towards Business and Marketing Development , 2011 .

[9]  George Mastorakis,et al.  Maximizing energy conservation in a centralized cognitive radio network architecture , 2013, 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[10]  George Mastorakis,et al.  Energy efficient resource sharing using a trafficoriented routing scheme for cognitive radio networks , 2014, IET Networks.

[11]  C.R. Mandal,et al.  Performance comparison of AODV/DSR on-demand routing protocols for ad hoc networks in constrained situation , 2005, 2005 IEEE International Conference on Personal Wireless Communications, 2005. ICPWC 2005..

[12]  M. Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998, Proceedings. Twelfth Workshop on Parallel and Distributed Simulation PADS '98 (Cat. No.98TB100233).

[13]  Charles E. Perkins,et al.  Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers , 1994, SIGCOMM.

[14]  Sabina Barakovi,et al.  Comparison of MANET Routing Protocols in Different Traffic and Mobility Models , 2010 .

[15]  Yasir Saleem,et al.  Network Simulator NS-2 , 2015 .

[16]  Said El Kafhali,et al.  Simulation Analysis of Routing Protocols using Manhattan Grid Mobility Model in MANET , 2013, ArXiv.

[17]  George Mastorakis,et al.  A radio resource management framework for opportunistic TVWS access , 2012, HP-MOSys '12.

[18]  Akshai Aggarwal,et al.  Performance Analysis of AODV, DSDV and DSR in MANETs , 2011, ArXiv.

[19]  Ian F. Akyildiz,et al.  Wireless mesh networks: a survey , 2005, Comput. Networks.

[20]  George Mastorakis,et al.  A spectrum aware routing protocol for ad-hoc cognitive radio networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[21]  George Mastorakis,et al.  An energy-efficient routing protocol for ad-hoc cognitive radio networks , 2013, 2013 Future Network & Mobile Summit.

[22]  George Mastorakis,et al.  A dynamic spectrum management framework for efficient TVWS exploitation , 2012, 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[23]  P. Chenna Reddy,et al.  Performance Analysis of Adhoc Network Routing Protocols , 2006 .

[24]  Phone Lin,et al.  A study on distributed/centralized scheduling for wireless mesh network , 2006, IWCMC '06.

[25]  Sunil Taneja,et al.  A Survey of Routing Protocols in Mobile Ad Hoc Networks , 2010 .

[26]  George Mastorakis,et al.  A prototype cognitive radio architecture for TVWS exploitation under the real time secondary spectrum market policy , 2014, Phys. Commun..

[27]  George Mastorakis,et al.  A resource intensive traffic-aware scheme using energy-aware routing in cognitive radio networks , 2014, Future Gener. Comput. Syst..

[28]  George Mastorakis,et al.  A radio resource management framework for TVWS exploitation under an auction-based approach , 2012, 2012 8th international conference on network and service management (cnsm) and 2012 workshop on systems virtualiztion management (svm).

[29]  Ivan Stojmenovic,et al.  Ad hoc Networking , 2004 .

[30]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[31]  George Mastorakis,et al.  Energy-Efficient Routing in Cognitive Radio Networks , 2014 .

[32]  George Mastorakis,et al.  Radio resource management algorithms for efficient QoS provisioning over cognitive radio networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[33]  J. J. Garcia-Luna-Aceves,et al.  An efficient routing protocol for wireless networks , 1996, Mob. Networks Appl..

[34]  J. Cano,et al.  A performance comparison of energy consumption for Mobile Ad Hoc Network routing protocols , 2000, Proceedings 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.PR00728).

[35]  George Mastorakis,et al.  New Business Strategies and Marketing Opportunities Utilizing a Liberalized Spectrum Management Fram , 2011 .

[36]  George Mastorakis,et al.  Joint Radio Resource Management in Cognitive Networks: TV White Spaces Exploitation Paradigm , 2013 .

[37]  George,et al.  A Routing Protocol for Enhanced Efficiency in Cognitive Radio Networks , 2013 .

[38]  Charles E. Perkins,et al.  Performance comparison of two on-demand routing protocols for ad hoc networks , 2001, IEEE Wirel. Commun..

[39]  George Mastorakis,et al.  Spectrum aware routing in ad-hoc cognitive radio networks , 2012, 2012 Future Network & Mobile Summit (FutureNetw).

[40]  C C. Chiang,et al.  Routing in Clustered Multihop, Mobile Wireless Networks With Fading Channel , 1997 .

[41]  Elizabeth M. Belding-Royer,et al.  A review of current routing protocols for ad hoc mobile wireless networks , 1999, IEEE Wirel. Commun..

[42]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[43]  Mohammed Bouhorma,et al.  Performance comparison of ad-hoc routing protocols AODV and DSR , 2009, 2009 International Conference on Multimedia Computing and Systems.

[44]  George Mastorakis,et al.  QoS provisioning and policy management in a broker-based CR network architecture , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[45]  George Mastorakis,et al.  A spectrum aware routing protocol for public safety applications over cognitive radio networks , 2012, 2012 International Conference on Telecommunications and Multimedia (TEMU).

[46]  George Mastorakis,et al.  A centralised broker-based CR network architecture for TVWS exploitation under the RTSSM policy , 2012, 2012 IEEE International Conference on Communications (ICC).

[47]  Sung-Ju Lee,et al.  Split multipath routing with maximally disjoint paths in ad hoc networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[48]  Georgios A. Kioumourtzis,et al.  Simulation and Evaluation of Routing Protocols for Mobile Ad Hoc Networks (MANETs) , 2005 .

[49]  George Mastorakis,et al.  Efficient radio resource management algorithms in opportunistic cognitive radio networks , 2014, Trans. Emerg. Telecommun. Technol..

[50]  George Mastorakis,et al.  Optimizing radio resource management in energy-efficient cognitive radio networks , 2013, HP-MOSys '13.