Computer Science ›› 2013, Vol. 40 ›› Issue (4): 115-118.

Previous Articles     Next Articles

Ad hoc Network Node Routing Algorithm Based on the Optimal Energy Consumption Multicast Tree Structure

LI Yuan and YANG Li-bo   

  • Online:2018-11-16 Published:2018-11-16

Abstract: In order to solve Ad hoc least energy consumption multicast tree generation and optimization problems, this paper put forward Ad hoc network node routing algorithm based on the optimal energy consumption multicast tree structure. In this algorithm, the minimum cost multicast tree generation problem is first transformed into different relay node set power space of the dynamic optimization problem, and solving model based on the optimal energy consumption multicast tree is built. And the improved particle swarm optimization (pso) algorithm is used to make mapping and correction calculation for the right value of particle representing relay point link in different dimension space and then according to the particle fitness value, the particle's local extremum and global extremum are updated. Accor-ding to the particle position and velocity update mechanism of the iterative calculation, eventually global extreme value point and extreme value are used as the most optimal multicast tree node position and energy consumption value. The simulation results show that this algorithm has better particle diversity and global search and local search ability are good, and the optimization ability is strong.

Key words: Ad hoc working group on the network,Multicast tree,Particle swarm,Optimal energy consumption

[1] Wieselthier J E,Nguyen G D,Ephremides A.On the construction of energy-efficient broadcast and multicast trees in wireless networks [C]∥Proceedings of IEEE INFOCOM’.Tel Aviv,Israel,2000:585-594
[2] Montemanni R,Gambardella L M,Das A K.The minimum po-wer broadcast problem in wireless networks:a simulated annealing approach[C]∥Proceedings of the 2005IEEE Wireless Communications and Networking Conference.New Orleans,LA,USA,2005:2057-2062
[3] Hernandez H,Blum C.Energy-efficient multicasting in wireless ad-hoc networks:an ant colony optimization approach[C]∥Proceedings of the 2008IEEE International Symposium on Wireless Communication Systems.Reykjavik,Iceland,2008:667-671
[4] Das A K,Marks R J,El-Sharkawi M,et al.R-shrink:a heuristic for improving minimum power broadcast trees in wireless networks[C]∥Proceedings of IEEE GLOBECOM’03.San Francisco,A,USA,2003:523-527
[5] Zhong W L,Huang J,Zhang J.A novel particle swarm optimization for the Steiner tree problem in graphs[C]∥Proceedings of the 2008IEEE Congress on Evolutionary Computation.Hong Kong,China,2008:2460-2467
[6] 黄泽霞,俞攸红,黄德才.惯性权自适应调整的量子粒子群优化算法[J].上海交通大学学报,2012,2:228-232
[7] EBERHART R.Fuzzy adaptive particle swarm optimization[C]∥Proceedings of 2001IEEE International Conference on Evolutionary Computation.San Francisco:IEEE Press,2001:101-106
[8] 阳春华,谷丽姗,桂卫华.自适应变异的粒子群优化算法[J].计算机工程,2008,6:188-190
[9] Wieselthier J E,Nguyen G D,Ephremides A.Energy-awarewireless networking with directional antennas:the case of session-based broadcasting and multicasting[J].IEEE Transactions on Mobile Computing,2002,1(3):176-191
[10] 朱晓建,沈军.基于粒子群优化的ad hoc 网络最小能耗多播路由算法[J].通信学报,2012,3(3):52-58
[11] Kennedy J,Eberhart R.A discrete binary version of the particle swarm algorithm[C]∥Proceedings of the 1997IEEE International Conference on Systems,Man,and Cybernetics.Orlando,FL,USA,1997:4104-4108
[12] 袁辉勇,阙清贤,羊四清.传感器网络中基于能耗均衡的节点优化部署[J].计算机仿真,2010,7(8):100-102
[13] 杨春德,邓超.一种动态的时延约束费用优化多播路由算法[J].重庆邮电大学学报:自然科学版,2011,3(1):96-100

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!