Game Theory-Based IoT Efficient Power Control in Cognitive UAV

Fadhil Mukhlif,Norafida Ithnin,Omar B Abdulghafoor,Nourah Saad Alotaibi,Faiz Alotaibi

doi:10.32604/cmc.2022.026074

Abstract

With the help of network densification, network coverage as well as the throughput can be improved via ultra-dense networks (UDNs). In tandem, Unmanned Aerial Vehicle (UAV) communications have recently garnered much attention because of their high agility as well as widespread applications. In this paper, a cognitive UAV is proposed for wireless nodes power pertaining to the IoT ground terminal. Further, the UAV is included in the IoT system as the source of power for the wireless nodes as well as for resource allocation. The quality of service (QoS) related to the cognitive node was considered as a utility function based on pricing scheme that was modelled as a non-cooperative game theory in order to maximise users’ net utility function. Moreover, an energy efficiency non-cooperative game theory power allocation with pricing scheme (EE-NGPAP) is proposed to obtain an efficient power control within IoT wireless nodes. Further, uniqueness and existence of the Nash equilibrium have been demonstrated mathematically and through simulation. Simulation results show that the proposed energy harvest algorithm demonstrated considerable decrease in transmitted power consumption in terms of average power reduction, which is regarded to be apt with the 5G networks’ vision. Finally, the proposed algorithm requires around 4 iterations only to converge to NE which makes the algorithm more suitable in practical heterogeneous scenarios.

Highlights

Rapid advancement in mobile internet has brought in serious challenges pertaining to the design of mobile wireless networks, when offering ultra-high data rate as well as very low time delay
The proposed game is simulated to achieve the best harvesting for energy as well as efficient resource allocation pertaining to the Internet of Things (IoT) nodes on the ground based on Unmanned Aerial Vehicle (UAV) as an energy source
A series of experiments is conducted to assess the put forward algorithm’s performance pertaining to an energy harvesting in 1, 000 × 1, 000 m2 area, in which random distribution of the 20 × 20 IoT nodes is done, while the maximum distance between UAV and nodes were 50 and 100 m. Such low power nodes could be regarded as sensor nodes containing much important information for the transmission

Summary

Introduction

Rapid advancement in mobile internet has brought in serious challenges pertaining to the design of mobile wireless networks, when offering ultra-high data rate as well as very low time delay. As per a recent International Telecommunication Union (ITU) report, there will be an. The ultra-dense network (UDN) technique is regarded suitable to meet the needs pertaining to explosive data traffic [2]. Majority of the current studies on UDNs concentrate on performance enhancement of terrestrial heterogeneous cellular networks by managing different parameters such as the coexistence of resource allocation, energy efficient frequency reuse in heterogeneous small cell networks, Wi-Fi and heterogeneous ultra-dense scenarios user association, amongst others [4,5]

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Results

Conclusion