Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Mobile Ad-Hoc Network is a compilation of self-organized wireless devices that momentarily interconnects to support communication. In conjunction with the network characteristics like mobile nature and infrastructure less, some external factors also influence network Quality of Service (QoS). To ensure QoS in the network, QoS based optimizations and routing algorithms have been anticipated that concentrate limited metrics or result in sub-optimal solutions. To bridge the gap between QoS sustainability and to resolve sub optimal solution, Genetic Algorithm (GA) based Quality of Service Routing (QR) is proposed. This routing incorporates clustering algorithm based on preference that is designed to co-exist with GA based QR under undisputed constraints. This generates prolonged communication with higher convergence, preventing earlier optimal solution drain caused due to unstable clusters and frequent neighbor replacements. The proposed GA–QR is evaluated using the network metrics: throughput, end-to-end delay, overhead, etc.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Seas, S., Yang, Z., & He, J. (2004). A survey on mobile ad hoc wireless network. Information Technology Journal, 3, 168–175. CrossRef
Al-Ghazal, M., El-Sayed, A. & Kelash, H. (2007). Routing optimization using genetic algorithm in ad hoc networks. In 2007 IEEE International Symposium on Signal Processing and Information Technology.
Abolhasan, M., Wysocki, T., & Dutkiewicz, E. (2004). A review of routing protocols for mobile ad hoc networks. Ad Hoc Networks, 2(1), 1–22. CrossRef
Narayanaswamy, S., Kawadia, V., Sreenivas, R. S. & Kumar, P. R. (2002). Ad-hoc networks. Theory architecture algorithm and implementation of the compow protocols. In Proc. of European wireless. Next generation wireless networks: Technologies, Protocols, Service and Applications, pp. 156–162.
Olascuaga-Cabrera, J. G., Lopez-Mellado, E., Mendez-Vazquez, A., & Ramos-Corchado, F. F. (2011). A self-organization algorithm for robust networking of wireless devices. IEEE Sensors Journal, 11(3), 771–780. CrossRef
Yen, Y.-S., Chao, H.-C., Chang, R.-S., & Vasilakos, A. (2011). Flooding limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11–12), 2238–2250. CrossRef
Roy, B., Banik, S., Dey, P., Sanyal, S., & Chaki, N. (2012). Ant Colony based routing for mobile ad-hoc networks towards improved quality of services. Journal of Emerging Trends in Computing and Information Sciences, 3(1), 1–4.
Zheng, Z., Wang, H. & Yao, L. (2012). An artificial bee colony optimization algorithm for multicast routing. In Advanced Communication Technology (ICACT), 14th International Conference, IEEE, pp. 168–172.
Liu, K., Chen, Z., Abraham, A., Cao, W., & Jing, S. (2012) Degree-constrained minimum spanning tree problem using genetic algorithm. In Nature and Biologically Inspired Computing (NaBIC), Fourth World Congress, IEEE, pp. 8–14.
Beena, Sathya. (2012). A multi-objective optimization strategy based on GSO for the multicast routing problem. International Journal of Advanced Research in Computer Science and Software Engineering, 2(10), 326–333.
Wang, X., Cheng, H., & Huang, H. (2013). Constructing a MANET based on clusters. Wireless Personal Communications, 75(2), 1489–1510. CrossRef
Manfredi, S. (2013). Design of a multi-hop dynamic consensus algorithm over wireless sensor networks. Control Engineering Practice, 21(4), 381–394. CrossRef
Zahidi, S. Z. H., Aloul, F., Sagahyroon, A., & El-Hajj, W. (2013). Optimizing complex cluster formation in MANETs using SAT/ILP techniques. IEEE Sensors Journal, 13(6), 2400–2412. CrossRef
Nancharaiah, B., & Mohan, B. C. (2014). The performance of a hybrid routing intelligent algorithm in a mobile ad hoc network. Computers & Electrical Engineering, 40(4), 1255–1264. CrossRef
Ying, Z., & Changgang, J. (2014). A kind of routing algorithm for heterogeneous wireless sensor networks based on affinity propagation. In The 26th Chinese Control and Decision Conference (2014 CCDC).
Asraf, N. M., Ainon, R. N., & Keong, P. K. (2010). QoS parameter optimization using multi-objective genetic algorithm in MANETs. In 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation.
Striegel, A., & Manimaran, G. (2002). A survey of QoS multicasting issues. IEEE Communications Magazine, 40(6), 82–87. CrossRef
Delavar, A. G., Hoseyny, S., & Maghsoudi, R. (2012). BCO-based optimized heuristic strategies for QoS routing. The Journal of Mathematics and Computer Science, 5(2), 105–114.
Gavhale, M., & Saraf, P. D. (2016). Survey on algorithms for efficient cluster formation and cluster head selection in MANET. Procedia Computer Science, 78, 477–482. CrossRef
Thenmozhi, D. S., & Rajaram, M. (2011). An efficient passive approach for quality of service routing in MANETs. International Journal of Engineering Trends and Technology, 2(2), 61–66.
Nivetha, S. K., & Asokan, R. (2014). Hybrid ACO-PSO based multi objective optimization for quality of service routing in mobile ad hoc networks. International Journal of Applied Engineering Research, 9(24), 24651–24668.
Kulkarni, S. B., & Yuvaraju, B. N. (2015). ENB cluster head selection algorithm for MANET. International Journal on Engineering Technology and Sciences, 2(1) 4–6.
Lee, C., & Jeong, T. (2011). FRCA: A fuzzy relevance-based cluster head selection algorithm for wireless mobile ad-hoc sensor networks. Sensors, 11(12), 5383–5401. CrossRef
Li, Y., & Yang, S. (2015). Research on cluster head selection algorithm based on QoS constraints in mobile ad hoc networks. In 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA).
Cheng, H., Yang, S., & Cao, J. (2013). Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks. Expert Systems with Applications, 40(4), 1381–1392. CrossRef
Hua, Y., & Zhimei, L. (2016). A genetic-algorithm-based clustering protocol in MANET. In Proceedings of the 7th International Conference on Computing Communication and Networking Technologies— ICCCNT 16.
- Mutual Constraint Based GA Suggested Routing Algorithm for Improving QoS in Clustered MANETS
K. B. Gurumoorthy
A. Nirmal Kumar
- Springer US
Neuer Inhalt/© Filograph | Getty Images | iStock