A new efficient fast routing protocol for MANET

In this paper, an efficient fast secure routing protocol for MANET is presented. Fast packet detection is a critical issue to overcome intrusion attack. Here, a new approach for fast packet detection during data transmission is presented. Such algorithm uses fast time delay neural networks (FTDNNs). The operation of these networks relies on performing cross correlation in the frequency domain between the input data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented FTDNNs is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations. This security algorithm is involved with Ad hoc Dynamic Source Routing (DSR) protocol based on mobility prediction, named as MDSR. Such protocol controls route discovery, route keeping and route switching according to the distance and mobility estimation of the neighbor nodes. The proposed protocol is implemented by using a modified NS2. The performance of the proposed protocol is described. Simulation results are given.

[1]  Qiangfu Zhao,et al.  A Fast Neural Algorithm for Serial Code Detection in a Stream of Sequential Data , 2008 .

[2]  Lei Chen,et al.  OPHMR: An Optimized Polymorphic Hybrid Multicast Routing Protocol for MANET , 2007, IEEE Transactions on Mobile Computing.

[3]  David B. Johnson,et al.  The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks , 2003 .

[4]  W. W. Lu,et al.  Challenges in mobile ad hoc networking , 2001, IEEE Commun. Mag..

[5]  Gene Tsudik,et al.  Simple and fault-tolerant key agreement for dynamic collaborative groups , 2000, CCS.

[6]  Mamoun Hussein Mamoun.  A New DSR Routing Protocol for MANET , 2009, J. Convergence Inf. Technol..

[7]  André Schiper,et al.  On the accuracy of MANET simulators , 2002, POMC '02.

[8]  Mario Gerla,et al.  A simulation study of table-driven and on-demand routing protocols for mobile ad hoc networks , 1999, IEEE Netw..

[9]  R. Sekar,et al.  Fast Packet Classification for Snort by Native Compilation of Rules , 2008, LISA.

[10]  Hazem M. El-Bakry.  Face detection using fast neural networks and image decomposition , 2002, Neurocomputing.

[11]  Dongkyun Kim,et al.  Improving TCP-Vegas Performance Over MANET Routing Protocols , 2007, IEEE Transactions on Vehicular Technology.

[12]  D.L. Goeckel,et al.  Cooperative communications in mobile ad hoc networks , 2006, IEEE Signal Processing Magazine.

[13]  Mary Baker,et al.  Mitigating routing misbehavior in mobile ad hoc networks , 2000, MobiCom '00.

[14]  Reinhard Klette,et al.  Handbook of image processing operators , 1996 .

[15]  George Varghese,et al.  Fast Content-Based Packet Handling for Intrusion Detection , 2001 .

[16]  David A. Maltz,et al.  A performance comparison of multi-hop wireless ad hoc network routing protocols , 1998, MobiCom '98.

[17]  Nikos E. Mastorakis,et al.  Fast Code Detection Using High Speed Time Delay Neural Networks , 2007, ISNN.

[18]  J. Tukey,et al.  An algorithm for the machine calculation of complex Fourier series , 1965 .

[19]  Qiangfu Zhao,et al.  Speeding-up normalized neural networks for face/object detection , 2005 .