An Adaptive Approach to Swarm Surveillance using Particle Swarm Optimization

被引：0
|
作者：
Srivastava, Roopak [1 ]
Budhraja, Akshit [1 ]
Pradhan, Pyari Mohan [1 ]
机构：
[1] Indian Inst Technol, Dept Elect & Commun Engn, Roorkee 247667, Uttar Pradesh, India
来源：
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年
关键词：
MODEL;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Swarm robotics is a field of robotics in which coordination between relatively simple multi-robot system leads to complex desired behavior. This field of robotics is inspired from behavior of insects like ants, bees and cockroaches where simple actions performed by them achieves complex swarm behavior. Scalability, miniaturization and lower complexity of individual robots are three main motivations of swarm robotics. This paper discusses an important application of swarm robotics to surveillance task and provides an effective algorithm for protection against enemy intrusion. Results are verified by simulating intrusion in case of 'Castle', 'Guards', 'Enemy' system wherein guards protect the castle from enemy intrusion. A comparison is presented from the case where 'Social potential field' is used as a controller for obtaining desired swarm behavior.
引用
收藏
页码：3780 / 3783
页数：4
相关论文
共 50 条
  • [1] Adaptive Particle Swarm Optimization using velocity information of swarm
    Yasuda, K
    Iwasaki, N
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3475 - 3481
  • [2] Particle Swarm Optimization using adaptive mutation
    Pant, Millie
    Thangaraj, Radha
    Abraham, Ajith
    [J]. DEXA 2008: 19TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2008, : 519 - +
  • [3] Adaptive particle swarm optimization
    Yasuda, K
    Ide, A
    Iwasaki, N
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 1554 - 1559
  • [4] Adaptive Particle Swarm Optimization
    Zhan, Zhi-Hui
    Zhang, Jun
    Li, Yun
    Chung, Henry Shu-Hung
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (06): : 1362 - 1381
  • [5] Adaptive Particle Swarm Optimization
    Zhan, Zhi-hui
    Zhang, Jun
    [J]. ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS, 2008, 5217 : 227 - 234
  • [6] Neuro Structure Optimization Using Adaptive Particle Swarm Optimization
    Panigrahi, Sushanta Kumar
    Sahu, Amaresh
    Pattnaik, Sabyasachi
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONVERGENCE (ICCC 2015), 2015, 48 : 802 - 808
  • [7] Neuro structure optimization using adaptive particle swarm optimization
    20153301167864
    [J]. (1) Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India; (2) Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India; (3) Fakir Mohan University, Balasore, Odisha, India, 1600, (Elsevier B.V., Netherlands):
  • [8] A modified particle swarm optimization using adaptive strategy
    Liu, Hao
    Zhang, Xu-Wei
    Tu, Liang-Ping
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2020, 152
  • [9] Adaptive particle swarm optimization using velocity feedback
    Iwasaki, Nobuhiro
    Yasuda, Keiichiro
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2005, 1 (03): : 369 - 380
  • [10] Particle Swarm Optimization using Adaptive Local Search
    Tang, Jun
    Zhao, Xiaojuan
    [J]. 2009 INTERNATIONAL CONFERENCE ON FUTURE BIOMEDICAL INFORMATION ENGINEERING (FBIE 2009), 2009, : 300 - 303
12345