Intelligent Trust-Based Utility and Reusability Model: Enhanced Security Using Unmanned Aerial Vehicles on Sensor Nodes

被引:40
作者
Sahoo, Santosh Kumar [1 ]
Mudligiriyappa, Niranjanamurthy [2 ]
Algethami, Abdullah A. [3 ]
Manoharan, Poongodi [4 ]
Hamdi, Mounir [4 ]
Raahemifar, Kaamran [5 ,6 ,7 ]
机构
[1] CVR Coll Engn, Dept EIE, Hyderabad 501510, Telangana, India
[2] Visvesvaraya Technol Univ, MS Ramaiah Inst Technol, Dept Comp Applict, Bangalore 560054, Karnataka, India
[3] Taif Univ, Dept Engn, At Taif 26312, Saudi Arabia
[4] Hamad Bin Khalifa Univ, Coll Sci & Engn, POB 34110, Doha, Qatar
[5] Penn State Univ, Coll Informat Sci & Technol, Data Sci & Artificial Intelligence Program, Philadelphia, PA 16801 USA
[6] Univ Waterloo, Fac Sci, Sch Optometry & Vis Sci, 200 Univ Ave W, Waterloo, ON N2L 3G1, Canada
[7] Univ Waterloo, Fac Engn, Dept Chem Engn, 200 Univ Ave W, Waterloo, ON N2L 3G1, Canada
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 03期
关键词
wireless sensor networks; energy utility model; unmanned aerial vehicle; intelligent-trust based model; wireless energy transfer; POWER TRANSFER; DDOS ATTACK; WIRELESS; INTRUSION; NETWORKS; MECHANISM; SYSTEM;
D O I
10.3390/app12031317
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Due to its importance in prolonging the lifetime of battery-restricted wireless sensor networks, network longevity has garnered considerable research attention, with the rechargeable wireless sensor network emerging as a viable solution. In this research, the novel methodology of a trust-based mechanism for enhanced security integrated with an energy utility and re-usability model is proposed with software-defined networking (SDN) to maximize energy utilization. We proposed a novel framework with SDN for the service station in a wireless sensor network (WSN). The results showed that the life capacity of the network increases to a maximum of 290% when compared with no charging, with the charge increasing by 30% intervals. We also present how the network survives through this choice of sink. As there is variation in the network size while it increases, the proposed approach with the static method works well until the network size reaches 200. Furthermore, the proposed approach also uses the heuristic method to achieve the best performance.
引用
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页数:15
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