Energy-efficient collaborative transmission algorithm based on potential game theory for beamforming

Jing Zhang,Li Lei,Xin Feng

doi:10.1177/1550147719877630

Abstract

A group of collaborative nodes can efficiently complete spatial long-distance transmission tasks using beamforming technology. However, a high sidelobe level interferes with communication quality, and uneven energy consumption of nodes affects network lifetime. This paper proposes an energy-efficient collaborative transmission algorithm based on potential game theory for beamforming. First, the minimum number of cooperative nodes is determined in accordance with the energy consumption and spacing limitation condition. A group of nodes satisfying the node spacing condition is selected as cooperative nodes based on the ring array to minimize communication interference among nodes. Second, a potential game model is proposed as a joint method for optimizing the collaborative parameters of the cooperative nodes and their energy consumption balancing features. Finally, the game process is continuously executed until the Nash equilibrium is reached. According to simulation results, the sidelobe level caused by the cooperative nodes is reduced and the transmission conflicts are lessened. Thus, the quality of communication links in between nodes in the network is improved. Energy efficiency is also promoted because a balancing of energy consumption is involved in the proposed potential game model, and network lifetime is effectively prolonged accordingly.

Highlights

The research on the Internet of Things has entered a stage of rapid development
This study proposes EECT-PGB for solving problems of unbalanced energy consumption and poor quality of communication links in long-distance collaborative transmission of Wireless sensor networks (WSNs)
The transmit power of the cooperative node is taken as the node weight in beamforming, and the appropriate transmit power is selected for each cooperative node based on the constructed potential game model, thereby achieving joint optimization of node energy consumption and sidelobe level (SLL)

Summary

Introduction

The research on the Internet of Things has entered a stage of rapid development. Wireless sensor networks (WSNs) are among the basic technologies used in the field of Internet of Things,[1] to monitor and digitize the physical world effectively. Beamforming technology[12,13] can achieve long-distance collaborative transmission tasks, and effectively solve the problems faced by multi-hop communication. To extend the network lifetime, it is necessary to optimize the energy consumption of each node participating in the collaboration transmission process, which implies the need to jointly optimize the communication quality and energy consumption of nodes. Each participating node needs to maximize its benefits as well as the objective function, and the game theory is suitable to solve the above optimization problem.[19,20] Based on the preceding analysis, this study proposes an energyefficient collaborative transmission algorithm based on potential game theory for beamforming (EECT-PGB) to efficiently achieve long-distance collaborative transmission.

Related work

Findings

Conclusion