Multimedia Sensor Networks Coverage Enhancing Algorithm Based on 3D Perception

doi:10.12068/j.issn.1005-3026.2018.05.001

Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (5): 609-613.DOI: 10.12068/j.issn.1005-3026.2018.05.001

• Information & Control • Next Articles

Multimedia Sensor Networks Coverage Enhancing Algorithm Based on 3D Perception

ZHUANG Yao-ming^1,2， WU Cheng-dong^1,2， ZHANG Yun-zhou^1,2

1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China; 2. School of Robot Science and Engineering， Northeastern University， Shenyang 110819， China.

Received:2016-12-19 Revised:2016-12-19 Online:2018-05-15 Published:2018-05-25
Contact: ZHUANG Yao-ming
About author:-
Supported by:
-

Abstract

Abstract: Existing optimization algorithms of wireless multimedia sensor networks (WMSMs) are easy to fall into local optimal solutions. The cuckoo search algorithm， by using a long distance search， can jump out of local optima effectively. This algorithm is based on the 3D perception model. The ratio of coverage is improved by introducing elite mechanism， multi-dimensional optimization and learning-feedback strategy to optimize the angle of rotation and reduce overlap. The improved cuckoo search made the first attempt to optimize the network coverage in MSNs. Finally， the simulation results show that the ratio of coverage is improved by the proposed algorithm.

Key words: multimedia sensor networks(MSNs), 3D perception model, coverage optimization, improved cuckoo search, Levy flight

CLC Number:

TP393

ZHUANG Yao-ming， WU Cheng-dong， ZHANG Yun-zhou. Multimedia Sensor Networks Coverage Enhancing Algorithm Based on 3D Perception[J]. Journal of Northeastern University Natural Science, 2018, 39(5): 609-613.

References

[1]Akyildiz I F，Melodia T，Chowdhury K R.A survey on wireless multimedia sensor networks［J］.Computer Networks，2007，51(4):921-960.
[2]He S B，Shin D H，Zhang J S，et al.Full-view area coverage in camera sensor networks:dimension reduction and near-optimal solutions［J］.IEEE Transactions on Vehicular Technology，2016，65(9):7448-7461.
[3]Rehman Y A U，Tariq M，Sato T，A novel energy efficient object detection and image transmission approach for wireless multimedia sensor networks［J］.IEEE Sensors Journal，2016，16(15):5942-5949.
[4]Alanazi A，Elleithy K.An optimized hidden node detection paradigm for improving the coverage and network efficiency in wireless multimedia sensor network［J］.Sensors，2016，16(9):1-19.
[5]Chenait M，Zebbane B，Benzaid C，et al.Energy-efficient coverage protocol based on stable and predictive scheduling in wireless sensor networks［J］.Computer Networks，2017，127(9):1-12.
[6]Boudali M，Senouci M R，Aissani M，et al.Activities scheduling algorithms based on probabilistic coverage models for wireless sensor networks［J］.Annals of Telecommunications，2017，72(3/4):221-232.
[7]Nene M J，Deodhar R S，Patnaik L M.Algorithm for autonomous reorganization of mobile wireless camera sensor networks to improve coverage［J］.IEEE Sensors Journal，2015，15(8):4428-4441.
[8]Yang X，Wen Y，Yuan D，et al.3-D application-oriented visual correlation model in wireless multimedia sensor networks［J］.IEEE Sensors Journal，2017，17(8):2583-2595.
[9]Gupta S K，Kuila P，Jana P K.Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks［J］.Computers & Electrical Engineering，2016，56(1):544-556.
[10]Wang C，Sun E，Tian F.Optimal coverage algorithm of wireless sensor networks based on particle swarm optimization with coherent velocity［J］.International Journal of Grid and Distributed Computing，2016，9(9):293-306.
[11]Zhang K，Duan C，Jia H.Genetic simulated annealing-based coverage-enhancing algorithm for multimedia directional sensor networks［J］.International Journal of Communication Systems，2015，28(9):1598-1609.
[12]Chen C P，Mukhopadhyay S C，Chuang C L，et al.A hybrid memetic framework for coverage optimization in wireless sensor networks［J］.IEEE Transactions on Cybernetics，2015，45(10):2309-2322.
[13]Yang X S，Deb S.Cuckoo search via lévy flights［C］// Nature & Biologically Inspired Computing.Coimbatore:IEEE，2010:210-214.
[14]Ye F，Qi W，Xiao J.Research of Niching genetic algorithms for optimization in electromagnetics［J］.Procedia Engineering，2011，16(1):383-389.

[1]	ZHANG Lu-wen， LIU Hong-juan. Modeling and Analysis of Infectious Disease Transmission Considering Protection and Isolation [J]. Journal of Northeastern University(Natural Science), 2023, 44(4): 486-494.
[2]	LI Zhen-ni, LI Jing-jiao, WANG Jiao, YANG Dan. Deadlock-Free Routing Algorithm of 2D-Torus Network-on-Chip Based on FPGA [J]. Journal of Northeastern University(Natural Science), 2021, 42(1): 1-6.
[3]	LIU Zhen-yu， SONG Xiao-ying. An Applicable Multivariate Decision Tree Algorithm for Categorical Attribute Data [J]. Journal of Northeastern University Natural Science, 2020, 41(11): 1521-1527.
[4]	ZENG Rong-fei， ZHANG De-yong， WANG Xing-wei， HUANG Min. A Customized Routing Backup Mechanism for IPv6 [J]. Journal of Northeastern University Natural Science, 2020, 41(10): 1369-1376.
[5]	ZHAO Hai， ZHENG Chun-yang， WANG Jin-fa， SI Shuai-zong. Network Anomaly Detection Method for Intentional Attack [J]. Journal of Northeastern University Natural Science, 2020, 41(10): 1376-1381.
[6]	JING Yuan-wei， QI Xue-lei， SHEN Jin-dong， JING Jiang-shan. H_∞ Congestion Tracking Control for TCP/AWM Network Systems [J]. Journal of Northeastern University Natural Science, 2020, 41(10): 1388-1393.
[7]	ZENG Rong-fei， GAO Yuan， WANG Xing-wei， ZHANG Bang. Efficient Joint Detection and Defense Mechanism for DDoS Attack in SDN [J]. Journal of Northeastern University Natural Science, 2020, 41(9): 1217-1222.
[8]	YAO Wei， ZHAO Hai， ZHU Jian， CHEN Xiang-yi. Multi-characteristic Subnets Discovery and Analysis Based on Traceroute [J]. Journal of Northeastern University Natural Science, 2020, 41(8): 1075-1082.
[9]	YANG Wang， JIANG Yong-han， ZHANG San-feng. A Web Spam Link Detection Method Based on Web Page Structure and Text Features [J]. Journal of Northeastern University Natural Science, 2020, 41(8): 1091-1096.
[10]	LI Zhen-ni， WANG Jiao， LI Jing-jiao， WANG Ze-kun. A New Stereo Image Disparity Algorithm Based on FPGA [J]. Journal of Northeastern University Natural Science, 2020, 41(6): 778-783.
[11]	JIANG Xu-yan， YAN Jin-li， QUAN Wei， SUN Zhi-gang. SSA:CQF-oriented Scheduling Algorithm in Time-Sensitive Networking [J]. Journal of Northeastern University Natural Science, 2020, 41(6): 784-791.
[12]	WU Gang， WU Cheng-dong. Location Algorithm of Wireless Sensor Network Nodes Based on Semi-definite Programming [J]. Journal of Northeastern University Natural Science, 2019, 40(10): 1381-1385.
[13]	JING Yuan-wei， LI Zan-hua， LIU Ting. Minimax Congestion Control for a Class of TCP Network Systems [J]. Journal of Northeastern University Natural Science, 2019, 40(8): 1065-1069.
[14]	RU Jing-yu， JIA Zi-xi， WU Cheng-dong. A Sunshine-Based Trajectory Simplification Algorithm [J]. Journal of Northeastern University Natural Science, 2019, 40(8): 1070-1075.
[15]	YE Zheng-wang， WEN Tao， LIU Zhen-yu， FU Chong-guo. An Algorithm of Trust-based Secure Data Aggregation for Wireless Sensor Networks [J]. Journal of Northeastern University Natural Science, 2019, 40(6): 789-794.

Multimedia Sensor Networks Coverage Enhancing Algorithm Based on 3D Perception

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments