Optimized Artificial Intelligence Approach based Spectrum Aware Energy Efficient Routing (SAEER) for Device-to-Device IoT Communication
Harmanjot Kaur1, Sandeep Singh Kang2, Nitika Kapoor3
1Harmanjot Kaur, Department of Computer Science Engineering, University institute of Engineering, Chandigarh University, Gharuan, Mohali, India.
2Sandeep Singh Kang, Department of Computer Science Engineering, University institute of Engineering, Chandigarh University, Gharuan, Mohali, India.
3Nitika Kapoor, Department of Computer Science Engineering, University institute of Engineering, Chandigarh University, Gharuan, Mohali, India.
Manuscript received on 11 April 2019 | Revised Manuscript received on 19 May 2019 | Manuscript published on 30 May 2019 | PP: 2272-2281 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1199058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With continually increasing demands for Internet of Things (IoT) communication, Device-to-Device communication (D2D-Communication) and energy efficient routing mechanisms are fundamental requirements of many IoT based applications. For these types of applications, spectrum aware energy efficient routing protocols must support mobility and discover optimal D2D routes along with the minimum energy consumption rate. The communicating nodes in IoT network have restricted energy resources and rapid energy reduction of communicating nodes leads to the formation of energy holes in the IoT network, which hinders the intended services to IoT based application. For this reason, Spectrum aware energy efficient mechanism is also one of the essential objectives of routing protocols. In the existing work, a lot of researchers have anticipated energy-efficient routing protocols that provide optimum D2D routes but most of them do not support recognition of malicious/fail nodes in the IoT network. In this paper, Spectrum Aware Energy Efficient Routing (SAEER) Protocol for IoT network is proposed that supports detection of malicious /fail nodes and discovers nearly most favorable routes with minimum energy consumption rate. The presented routing protocol also reduces the number of intermediate nodes in D2D route discovery mechanism which helps to decrease the energy consumption rate. In addition to that, it also offers an efficient approach to provide secure routing support with maximum routing capacity and end to end data transmission rate. So in this work, the concept of Genetic Algorithm (GA) along with Artificial Neural Network (ANN) is used for the secure D2D routing using novel fitness function. The QoS performance parameters of our routing protocol are analyzed with standard and existing work and with several routing protocols and the experimental results validating the concept of optimized artificial neural network. The results show that the proposed protocol provides 8.23% less energy consumption in comparison to existing work.
Index Terms: IoT (Internet of Things), Device-to-Device Communication (D2D-Communication), Genetic Algorithm (GA), Artificial Neural Network (ANN), Quality of Service (QoS), Power Consumption
Scope of the Article: IoT