Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET

In the conventional mobile ad hoc network (MANET) systems' route rediscovery methods, there exists route failure in all route discovery methods resulting in data loss and communication overheads. Hence, the routing has to be done in accordance with mobility character of the network. In this manuscript, a particle swarm optimization (PSO)-based lifetime prediction algorithm for route recovery in MANET has been proposed. This technique predicts the lifetime of link and node in the available bandwidth based on the parameters like relative mobility of nodes and energy drain rate, etc. Using predictions, the parameters are fuzzified and fuzzy rules have been formed to decide on the node status. This information is made to exchange among all the nodes. Thus, the status of every node is verified before data transmission. Even for a weak node, the performance of a route recovery mechanism is made in such a way that corresponding routes are diverted to the strong nodes. With the aid of the simulated results, the minimization of data loss and communication overhead using PSO prediction has been discussed in detail.

[1]  Subramaniam Shamala,et al.  Fuzzy metric approach for route lifetime determination in wireless ad hoc networks , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[2]  Athanasios V. Vasilakos,et al.  A Survey of Green Mobile Networks: Opportunities and Challenges , 2012, Mob. Networks Appl..

[3]  Narendra Babuji Yadla.  Route Recovery Schemes for Efficient MANET , 2013 .

[4]  Charu Gandhi,et al.  Node Disjoint Multipath Routing Considering Link and Node Stability protocol: A characteristic Evaluation , 2010, ArXiv.

[5]  Farrukh Aslam Khan,et al.  Weighted Clustering using Comprehensive Learning Particle Swarm Optimization for Mobile Ad Hoc Networks , 2010 .

[6]  Xinming Zhang,et al.  An Estimated Distance-Based Routing Protocol for Mobile Ad hoc Networks , 2011, IEEE Transactions on Vehicular Technology.

[7]  Kemal Ertugrul Tepe,et al.  Reliable Coverage Area Based Link Expiration Time (LET) Routing Metric for Mobile Ad Hoc Networks , 2009, ADHOCNETS.

[8]  C. Priyadharshini,et al.  Predicting route lifetime for maximizing network lifetime in MANET , 2012, 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET).

[9]  Zeng Ping,et al.  A novel particle swarm optimization algorithm , 2010, 2010 IEEE International Conference on Software Engineering and Service Sciences.

[10]  W. Wu,et al.  Link availability prediction-based reliable routing for mobile ad hoc networks , 2011, IET Commun..

[11]  Athanasios V. Vasilakos,et al.  Bandwidth allocation for virtual paths (BAVP): investigation of performance of classical constrained and genetic algorithm based optimisation techniques , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[12]  Athanasios V. Vasilakos,et al.  Cross-Layer Support for Energy Efficient Routing in Wireless Sensor Networks , 2009, J. Sensors.

[13]  Athanasios V. Vasilakos,et al.  Directional routing and scheduling for green vehicular delay tolerant networks , 2012, Wireless Networks.

[14]  Athanasios V. Vasilakos,et al.  Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs , 2011, Math. Comput. Model..

[15]  Ajay Kumar,et al.  Optimum Route Life Time Prediction Of Trusted Dynamic Mobile Nodes in Large Scale Manets , 2012 .

[16]  Athanasios V. Vasilakos,et al.  Routing for disruption tolerant networks: taxonomy and design , 2010, Wirel. Networks.

[17]  Athanasios V. Vasilakos,et al.  Evolutionary-fuzzy prediction for strategic QoS routing in broadband networks , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[18]  Yogendra Kumar Jain,et al.  Energy Level Accuracy and Life Time Increased in Mobile Ad-Hoc Networks Using OLSR , 2012 .

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

[20]  C. Priyadharshini,et al.  PSO based route lifetime prediction algorithm for maximizing network lifetime in MANET , 2012, 2012 International Conference on Recent Trends in Information Technology.

[21]  Athanasios V. Vasilakos,et al.  Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter , 2011, Comput. Commun..

[22]  Sarita Singh Bhadauria,et al.  Agent based Bandwidth Reservation Routing Technique in Mobile Ad Hoc Networks , 2011 .

[23]  Yusong Yan,et al.  A Novel Particle Swarm Optimization Algorithm ? , 2014 .