research-article

Data Fusion for Wireless Sensor Networks Based on Hybrid Ant Colony Algorithm

Authors:

Lihong Wang,

Xue HanAuthors Info & Claims

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

Pages 52 - 55

https://doi.org/10.1145/3318236.3318260

Published: 15 March 2019 Publication History

Get Access

Abstract

A hybrid ant algorithm is proposed for wireless sensor networks data fusion, which to improve the efficiency of data integration and rextend the network lifetime. Not only the energy consumption is considered, but also the data transmission delay is considered. First, Making use of the advantages of ant algorithm in searching for the shortest path, the algorithm construct the shortest path.To overcome the disadvantages of prematurity and slow the rate of convergence in ant algorithm, At the same time, a variable neighborhood search mutation operator is applied to optimize search results.when iterrations number is achieved. Experiment results show that the algorithm which reduce energy consumption and network delay, is more stable and has better perfoming.

References

[1]

Chen Bo, Polatkan G, Sapiro G, et al. "Deep learning with hierarchical convolutional factor analysis," IEEE Trans on Pattern Analysis and Machine Intelligence, vol.35, August 2013, pp.1887--901.

Digital Library

Google Scholar

[2]

LIN Y H, CHANG S Y, SUN H M. "CDAMA: Concealed data aggregation scheme for multiple applications in wireless sensor," IEEE Transactions on Knowledge and Data Engineering, vol.25 July 2013, pp.417--483.

Digital Library

Google Scholar

[3]

Zhao F, Xu Y, Li R. "Improved LEACH Routing Communication Protocol for a Wireless Sensor Network," International Journal of Distributed Sensor Networks, vol.12, April 2012, pp.1497--1500.

Google Scholar

[4]

Zhou M, Jiao Z, et al. "Virtual Gradient Based Back Pressure Scheduling in Wireless Multi-Hop Networks," Communications(ICC) 2015 IEEE International Conference on IEEE, 2015, pp. 3281--3286.

Google Scholar

[5]

YANG Yongjian, LIU Shuai. "Data Aggregation in WSN Based on SOFM Neural Network," Chinese Journal of Sensors and Actuators, vol.26, Dec.2013, pp.1757--1760.

Google Scholar

[6]

MAN Dapeng. WANG Chenye, YANG Wu, et al. "Energy-efficient cluster based privacy data aggregation for wireless sensor networks," Tsinghua Science and Technology, vol.57, Feb 2017, pp.213--219.

Google Scholar

[7]

Qiu Lida, Liu Tianjian, Fu Ping. "Data aggregation in wireless sensor networks based on deep learning," Application Research of Computers, vol. 33, Jan. 2016, pp.185--188.

Google Scholar

[8]

WANG Binbin, ZHOU Jipeng. "Balanced Delay and Energy on Backpressure SchedulingAlgorithm in Wireless Sensor Networks," Chinese Journal of Sensors and Actuators, vol.31, Feb.2018, pp.241--245.

Google Scholar

[9]

YU Xiuwu, FAN Feisheng. "Adaptive Forecast Weighting Data Fusion Algorithm for Wireless Sensor Network," Chinese Journal of Sensors and Actuators, vol. 30, May 2017, pp.772--776.

Google Scholar

[10]

{ALCAIDE D, SICILIA J.A "Tabu Search Algorithm the Open Job Shop Problem," Information Sciences, vol.5, Feb. 2006, pp.283--296.

Google Scholar

Cited By

View all

Xu JSun SLi M(2022)An optimal strategy with various QoS requirement for data fusion for Internet of ThingsTransactions on Emerging Telecommunications Technologies10.1002/ett.441933:4Online publication date: 17-Apr-2022
https://dl.acm.org/doi/10.1002/ett.4419
Achroufene AChelik MBouadem N(2021)Modified CSMA/CA protocol for real-time data fusion applications based on clustered WSNComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2021.108243196:COnline publication date: 4-Sep-2021
https://dl.acm.org/doi/10.1016/j.comnet.2021.108243

Index Terms

Data Fusion for Wireless Sensor Networks Based on Hybrid Ant Colony Algorithm
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Wireless integrated network sensors

Recommendations

Data fusion algorithms for wireless sensor networks based on deep learning model
HP3C '19: Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications

In order to reduce the energy consumption and prolong the lifetime of wireless sensor networks (WSN), a data fusion algorithm based on deep learning model is proposed. Firstly, the algorithm completes training and clustering at the sink node, transfers ...
Routing Technology in Wireless Sensor Network Based on Ant Colony Optimization Algorithm

With rapid development of wireless communication, sensor, micro power system and electronic technology, the research on wireless sensor network has attracted more and more attention. The work proposed routing algorithm in wireless sensor network based ...
Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization
ICDCN '09: Proceedings of the 10th International Conference on Distributed Computing and Networking

Formulation of energy efficient protocols is of utmost importance for wireless sensor networks because of energy constraints of sensor nodes. When a number of nodes is deployed in a field located away from the base station, the nodes undergo unequal ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis

March 2019

156 pages

ISBN:9781450362450

DOI:10.1145/3318236

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Department of Informatics, University of Oslo

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICGDA 2019

ICGDA 2019: 2019 2nd International Conference on Geoinformatics and Data Analysis & 2019 2nd International Conference on Software and Services Engineering

March 15 - 17, 2019

Prague, Czech Republic

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
52
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 28 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Xu JSun SLi M(2022)An optimal strategy with various QoS requirement for data fusion for Internet of ThingsTransactions on Emerging Telecommunications Technologies10.1002/ett.441933:4Online publication date: 17-Apr-2022
https://dl.acm.org/doi/10.1002/ett.4419
Achroufene AChelik MBouadem N(2021)Modified CSMA/CA protocol for real-time data fusion applications based on clustered WSNComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2021.108243196:COnline publication date: 4-Sep-2021
https://dl.acm.org/doi/10.1016/j.comnet.2021.108243

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Data fusion algorithms for wireless sensor networks based on deep learning model

Routing Technology in Wireless Sensor Network Based on Ant Colony Optimization Algorithm

Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization