|Table of Contents|

Dynamic alliance collaborative tasks of WSNs based on swarm intelligence algorithm

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2014年04期
Page:
537-543
Research Field:
Publishing date:

Info

Title:
Dynamic alliance collaborative tasks of WSNs based on swarm intelligence algorithm
Author(s):
Chen Ying1Li Yingjie3Zhu Sifeng2
1.School of Computer Science and Technology; 2.School of Mathematics and Statistics,Zhoukou Normal University,Zhoukou 466001,China; 3.Henan Technical College of Construction,Zhengzhou 450000,China
Keywords:
wireless sensor networks task collaboration dynamic alliance particle swarm optimization ant colony algorithm computing power perception subtasks computation subtasks nodes redundancy energy consumption
PACS:
TP391
DOI:
-
Abstract:
In response to the limited computing power and difficulties in completing data transmission of a single node in wireless sensor networks(WSNs),this paper proposes a co-processing data-transmitting method that can divide the cooperative task into perception and computation.By introducing the particle swarm optimization ant colony algorithm(PSO-ACO)into the dynamic alliance of task collaboration of sensing nodes,the data collection routing tree of the sensor network is built.Based on the correlation of data collection in the sensor network,the swarm intelligence algorithm is used to optimize the transmission path of the data sent by the nodes to ensure the continuity of the dynamic alliance in executing the tasks.In this way,the performance of the sensor network is ensured to some extent and the communication energy consumption is reduced accordingly.Simulation experiments indicate that,the sensor network achieves optimal monitoring performance when the percentage of sensing nodes in the total number of nodes in the network is less than 28%.The scheme proposed here can eliminate the sensor node redundancy detected in the same task and reduce energy consumption of the system.

References:

[1] Lin Y,Chang S,Sun H.CDAMA:concealed data aggregation scheme for multiple applications in wireless sensor networks[J].IEEE Transactions on Knowledge and Data Engineering,2013,25(7):1471-1483.
[2]Chen Ying,Guo Wenzhong,Chen Guolong.A dynamic-alliance-based adaptive task allocation algorithm in wireless sensor networks[A].Proceedings of the Ninth International Conference on Grid and Cooperative Computing[C].Piscataway,NJ:IEEE Press,2010:356-360.
[3]Bertrand A,Szurley J,Ruckebusch P,et al.Efficient calculation of sensor utility and sensor removal in wireless sensor networks for adaptive signal estimation and beamforming[J].IEEE Transactions on Signal Processing,2012,60(11):5857-5869.
[4]Euisin L,Soochang P,Yu F,et al.Communication model and protocol based on multiple static sinks for supporting mobile users in wireless sensor networks[J].IEEE Transactions on Consumer Electronics,2010,56(3):1652-1660.
[5]Sooyeon S,Taekyoung K,Gil Y,et al.An experimental study of hierarchical intrusion detection for wireless industrial sensor networks[J].IEEE Transactions on Industrial Informatics,2010,6(4):744-757.
[6]Chen Chengyu,Guo Wenzhong,Chen Guolong.A new task allocation algorithm based on dynamic coalition in WSNs[A].Parallel and Distributed Processing Symposium Workshops & PhD Forum[C].Piscataway,NJ:IEEE Press,2012:1243-1248.
[7]高德民,钱焕延,严筱永,等.无线传感器网络最大生命期数据融合算法[J].南京理工大学学报,2012,36(1):56-60.
Gao Demin,Qian Huanyan,Yan Xiaoyong,et al.Maximum lifetime data aggregation algorithm for wireless sensor networks[J].Journal of Nanjing University of Science and Technology,2012,36(1):56-60.
[8]张石,张哲,朱吉昌.基于遗传算法的传感器网络动态联盟研究[J].计算机科学,2008,35(4):20-24.
Zhang Shi,Zhang Zhe,Zhu Jichang.Dynamic alliance based on genetic algorithms in wireless sensor networks[J].Computer Science,2008,35(4):20-24.
[9]陈国龙,郭文忠,陈羽中.无线传感器网络任务分配动态联盟模型与算法研究[J].通信学报,2009,30(11):49-54.
Chen Guolong,Guo Wenzhong,Chen Yuzhong.Research on dynamic alliance of task allocation and its algorithm in wireless sensor network[J].Journal on Communications,2009,30(11):49-54.

Memo

Memo:
-
Last Update: 2014-08-31