journal article·2022-01-26Open access

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

Santosh Kumar Sahoo, Niranjanamurthy Mudligiriyappa, Abdullah A. Algethami, Poongodi Manoharan, Mounir Hamdi, Kaamran Raahemifar

Applied Sciences· Volume 12· Issue 3

Abstract

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.
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Research context

OpenAlex topics: UAV Applications and Optimization · Energy Efficient Wireless Sensor Networks · Opportunistic and Delay-Tolerant Networks

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of EIE, CVR College of Engineering, Hyderabad 501510, Telangana, India

Department of Computer Applications, M S Ramaiah Institute of Technology, Visvesvaraya Technological University, Bangalore 560054, Karnataka, India

Department of Engineering, Taif University, Taif 26312, Saudi Arabia

College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar

Data Science and Artificial Intelligence Program, College of Information Sciences and Technology, Penn State University, Pennsylvania, PA 16801, USA

School of Optometry and Vision Science, Faculty of Science, University of Waterloo, 200 University Ave W, Waterloo, ON N2L3G1, Canada

Department of Chemical Engineering, Faculty of Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON N2L3G1, Canada

Funding

Taif University

References (41)

Show source-provided references
1. Data Collection for Security Measurement in Wireless Sensor Networks: A Survey10.1109/JIOT.2018.2883403 ↗
2. Firefly-Inspired Time Synchronization Mechanism for Self-Organizing Energy-Efficient Wireless Sensor Networks: A Survey10.1109/ACCESS.2019.2935220 ↗
3. A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks10.1109/ACCESS.2020.3027820 ↗
4. A State-of-the-Art Survey on Multidimensional Scaling-Based Localization Techniques10.1109/COMST.2019.2921972 ↗
5. The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring10.1109/COMST.2018.2881008 ↗
6. Artificial Intelligence-Empowered Path Selection: A Survey of Ant Colony Optimization for Static and Mobile Sensor Networks10.1109/ACCESS.2020.2984329 ↗
7. UAV recharging opportunities and policies for sensor networks10.1155/2015/824260 ↗
8. A Survey on the Programmability of Wireless MAC Protocols10.1109/COMST.2018.2881761 ↗
9. SLGBM: An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments10.1109/ACCESS.2020.3024219 ↗
10. On the Feasibility of Deep Learning in Sensor Network Intrusion Detection10.1109/LNET.2019.2901792 ↗
11. Intrusion Detection Protocols in Wireless Sensor Networks Integrated to Internet of Things Deployment: Survey and Future Challenges10.1109/ACCESS.2019.2962829 ↗
12. Deep Learning Approach for Intelligent Intrusion Detection System10.1109/ACCESS.2019.2895334 ↗
13. A Novel Low-Rate Denial of Service Attack Detection Approach in ZigBee Wireless Sensor Network by Combining Hilbert-Huang Transformation and Trust Evaluation10.1109/ACCESS.2019.2903816 ↗
14. Interference and Intrusion in Wireless Sensor Networks
15. Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures10.1109/COMST.2019.2953364 ↗
16. A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks10.1109/ACCESS.2019.2914769 ↗
17. Stochastic model: ReCAPTCHA controller based co-variance matrix analysis on frequency distribution using trust evaluation and re-eval by Aumann agreement theorem against DDoS attack in MANET10.1007/s10586-015-0496-y ↗
18. The COLLID based intrusion detection system for detection against DDOS attacks using trust evaluation
19. Poongodi, M., Malviya, M., Kumar, C., Hamdi, M., Vijayakumar, V., Nebhen, J., and Alyamani, H. (2021). New York City taxi trip duration prediction using MLP and XGBoost. Int. J. Syst. Assur. Eng. Manag., 1–12.10.1007/s13198-021-01130-x ↗
20. Graphene-Grid Deployment in Energy Harvesting Cooperative Wireless Sensor Networks for Green IoT10.1109/TII.2018.2871183 ↗
21. Poongodi, M., Malviya, M., Hamdi, M., Vijayakumar, V., Mohammed, M.A., Rauf, H.T., and Al-Dhlan, K.A. (2021). 5G based Blockchain network for authentic and ethical keyword search engine. IET Commun., 1–7.
22. Wireless energy transfer via strongly coupled magnetic resonances10.1126/science.1143254 ↗
23. Detection and Prevention system towards the truth of convergence on decision using Aumann agreement theorem10.1016/j.procs.2015.04.053 ↗
24. Printed Spiral Resonator for Displacement-Tolerant Near-Field Wireless Energy Transfer10.1109/ACCESS.2019.2893805 ↗
25. The probabilistic approach of energy utility and reusability model with enhanced security from the compromised nodes through wireless energy transfer in WSN
26. A firegroup mechanism to provide intrusion detection and prevention system against DDoS attack in collaborative clustered networks10.4018/IJISP.2014040101 ↗
27. Displacement-Tolerant Printed Spiral Resonator With Capacitive Compensated-Plates for Non-Radiative Wireless Energy Transfer10.1109/ACCESS.2019.2891015 ↗
28. Shi, Y., Xie, L., Hou, Y.T., and Sherali, H.D. (2011, January 10–15). On renewable sensor networks with wireless energy transfer. Proceedings of the 2011 Proceedings IEEE INFOCOM, Shanghai, China.10.1109/INFCOM.2011.5934919 ↗
29. Adaptive and Extensible Energy Supply Mechanism for UAVs-Aided Wireless-Powered Internet of Things10.1109/JIOT.2020.3005133 ↗
30. Transfer Learning Promotes 6G Wireless Communications: Recent Advances and Future Challenges10.1109/TR.2021.3062045 ↗
31. Muniyappan, A., Sundarappan, B., Manoharan, P., Hamdi, M., Raahemifar, K., Bourouis, S., and Varadarajan, V. (2022). Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic: Analytical and Error Analysis of Approximate Series Solutions by Using HPM. Mathematics, 10.10.3390/math10030343 ↗
32. Energy Utilization-Aware Operation Control Algorithm in Energy Harvesting Base Stations10.1109/JIOT.2019.2942037 ↗
33. A Destination-Aided Wireless Energy Transfer Scheme in Multi-Antenna Relay Sensor Networks10.1109/LWC.2018.2883467 ↗
34. Multiobjective Precoder Design for Coexisting Wireless Energy Transfer and Information Transmission Systems10.1109/JSYST.2019.2920751 ↗
35. A Novel Coil With High Misalignment Tolerance for Wireless Power Transfer
36. A novel intrusion detection system based on trust evaluation to defend against DDoS attack in MANET10.1007/s13369-015-1822-7 ↗
37. Energy-Neutral Wireless-Powered Networks10.1109/LWC.2019.2918527 ↗
38. Asymmetric Modulation Design for Wireless Information and Power Transfer With Nonlinear Energy Harvesting10.1109/TWC.2019.2937024 ↗
39. Harnessing Frequency Domain for Cooperative Sensing and Multi-channel Contention in CRAHNs10.1109/TWC.2013.120413.130767 ↗
40. Mhamdi, L., and Hamdi, M. (2004, January 20–24). Scheduling multicast traffic in internally buffered crossbar switches. Proceedings of the 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577), Paris, France.10.1109/ICC.2004.1312671 ↗
41. Pun, K., and Hamdi, M. (2002, January 17–21). Distro: A distributed static round-robin scheduling algorithm for bufferless Clos-Network switches. Proceedings of the Global Telecommunications Conference, Taipei, Taiwan.