Improving energy efficiency in internet of things using artificial bee colony algorithm

被引:0
|
作者
Sivaram M. [1 ]
Porkodi V. [2 ]
Mohammed A.S. [2 ]
Karuppusamy S.A. [3 ]
机构
[1] Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City
[2] Department of Computer Networking, Lebanese French University, Kurdistan Region, Erbil
[3] Department of Electronics & Communication Engineering, Excel Engineering College, Namakkal, Tamilnadu
来源
Recent Patents on Engineering | 2021年 / 15卷 / 02期
关键词
Artificial bee colony algorithm; Collaborative approach; End-to-end security; Energy efficiency; IoT; Sensor nodes;
D O I
10.2174/1872212114999200616164642
中图分类号
学科分类号
摘要
Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities to reduce the constraint demands of the current security protocols. Objective: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem among IoT devices and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, the energy efficiency in WSNs has been an important concern. Methods: In this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial at-tempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability. © 2021 Bentham Science Publishers.
引用
收藏
页码:161 / 168
页数:7
相关论文
共 50 条
  • [31] An Overview of Artificial Bee Colony Algorithm
    Yang, Suhan
    Jiang, Hongwei
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 1220 - 1225
  • [32] A Novel Artificial Bee Colony Algorithm
    Yi, Yujiang
    He, Renjie
    2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 1, 2014, : 271 - 274
  • [33] Artificial bee colony algorithm with memory
    Li, Xianneng
    Yang, Guangfei
    APPLIED SOFT COMPUTING, 2016, 41 : 362 - 372
  • [34] Shuffled artificial bee colony algorithm
    Sharma, Tarun Kumar
    Pant, Millie
    SOFT COMPUTING, 2017, 21 (20) : 6085 - 6104
  • [35] An Improved Artificial Bee Colony Algorithm
    Zhao, Chao Feng
    Kong, Qing Bing
    Tian, Hai Lei
    MANUFACTURING, DESIGN SCIENCE AND INFORMATION ENGINEERING, VOLS I AND II, 2015, : 826 - 830
  • [36] A directed artificial bee colony algorithm
    Kiran, Mustafa Servet
    Findik, Oguz
    APPLIED SOFT COMPUTING, 2015, 26 : 454 - 462
  • [37] A Survey of Artificial Bee Colony Algorithm
    Liu, Ying
    Ma, Lianbo
    Yang, Guangming
    2017 IEEE 7TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2017, : 1510 - 1515
  • [38] Toward Optimal Service Composition in the Internet of Things via Cloud-Fog Integration and Improved Artificial Bee Colony Algorithm
    Xiao, Guixia
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (05) : 556 - 565
  • [39] A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
    Zou, Wenping
    Zhu, Yunlong
    Chen, Hanning
    Sui, Xin
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2010, 2010
  • [40] Wavelet Packets Optimization using Artificial Bee Colony Algorithm
    Akay, Bahriye
    Karaboga, Dervis
    2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 89 - 94