ptimization Algorithm for Multi-o ring in Mobile Ad Hoc Networks

作者: Tsung-Che Chiang , Wei Wu , Li-Chen Fu

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摘要: Abstract —Due to the proliferation of smaand developments in wireless communica tnetworks (MANETs) are gaining more and recent years. Routing MANETs is a chawhen network contains large numbeclustering technique popular method oin MANETs. It divides into sevassigns cluster head each for intracommunication. Clustering NP-hard multiple objectives. In this paper we propose acolony optimization (ACO) algorithm tomultiobjective problem. A new eproposed reduce size search space, anscheme proposed generate high-effectively. Experimental results show that better than several benchmark approaches. I. I NTRODUCTION With rise fourth generation (4Gstandards growing usage mdevices such as Personal Digital Assistants phones, have become MANET self-self-configuring multi-hop ncomprises set mobile hosts cfreely cooperate pass data between efixed infrastructures. has advantagplug-and-play convenience, flexibiliwireless communication places where fixare hard be up, examplein battle fields, mountain areas, temporary conferencemobile devices. An often constructed by hundevices real world, it encounteproblem traditional flat form [1]. tnode needs record information (node all other nodes network, h athe when number leads hierarchical form. Nodonly need keep chelps deal with scalability

参考文章(22)
Waseem Shahzad, Farrukh Aslam Khan, Abdul Basit Siddiqui, None, Clustering in Mobile Ad Hoc Networks Using Comprehensive Learning Particle Swarm Optimization (CLPSO) international conference on future generation communication and networking. pp. 342- 349 ,(2009) , 10.1007/978-3-642-10844-0_41
U.C. Kozat, G. Kondylis, B. Ryu, M.K. Marina, Virtual dynamic backbone for mobile ad hoc networks international conference on communications. ,vol. 1, pp. 250- 255 ,(2001) , 10.1109/ICC.2001.936312
D. Turgut, S.K. Das, R. Elmasri, B. Turgut, Optimizing clustering algorithm in mobile ad hoc networks using genetic algorithmic approach global communications conference. ,vol. 1, pp. 62- 66 ,(2002) , 10.1109/GLOCOM.2002.1188042
Eckart Zitzler, Marco Laumanns, Lothar Thiele, SPEA2: Improving the strength pareto evolutionary algorithm Technical Report, Gloriastrasse 35. ,vol. 103, ,(2001) , 10.3929/ETHZ-A-004284029
Hui Cheng, Jiannong Cao, Xingwei Wang, Sajal K. Das, Stability-based multi-objective clustering in mobile ad hoc networks Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks - QShine '06. pp. 27- ,(2006) , 10.1145/1185373.1185408
Hamid Ali, Waseem Shahzad, Farrukh Aslam Khan, Energy-efficient clustering in mobile ad-hoc networks using multi-objective particle swarm optimization soft computing. ,vol. 12, pp. 1913- 1928 ,(2012) , 10.1016/J.ASOC.2011.05.036
Beongku An, Symeon Papavassiliou, A mobility-based clustering approach to support mobility management and multicast routing in mobile ad-hoc wireless networks International Journal of Network Management. ,vol. 11, pp. 387- 395 ,(2001) , 10.1002/NEM.415
Mohamed K. Watfa, Omar Mirza, Jad Kawtharani, BARC: A Battery Aware Reliable Clustering algorithm for sensor networks Journal of Network and Computer Applications. ,vol. 32, pp. 1183- 1193 ,(2009) , 10.1016/J.JNCA.2009.05.005
Hakan Bagci, Adnan Yazici, An energy aware fuzzy approach to unequal clustering in wireless sensor networks soft computing. ,vol. 13, pp. 1741- 1749 ,(2013) , 10.1016/J.ASOC.2012.12.029
S. Thirumurugan, E. George Dharma Prakash Raj, W-PAC Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology - CCSEIT '12. pp. 182- 188 ,(2012) , 10.1145/2393216.2393247