Abstract

In smart grid (SG), internet of things (IoT) has drawn much attention around the years due to increased volume of traffic. Various types of electrical devices in SG demand a differentiated quality of service (QoS). However, the spectrum resource for SG wireless communication is quite limited. The network performance and spectrum utilization in a SG-IoT network can be greatly enhanced by adopting wireless mesh networks (WMNs) with multi-radio multi-channel (MRMC) and partially overlapping channels (POCs). In this paper, a game-based efficient POCs assignment algorithm is proposed to satisfy the diverse QoS and improve the spectrum utilization efficiency. The utility function in the proposed game model is taken both of the differentiated QoS and interference into consideration to optimize the network capacity. Then Nash Equilibrium (NE) of the game model is analyzed, and a variable learning step algorithm (VLSCA) is designed to improve its convergence speed. In the simulations, seven SG application services divided into four priority levels are considered to compare with the other two typical channel assignment algorithms. The results show that our algorithm has better performance to ensure a higher priority level traffic with lower end-to-end delays and packet loss ratios.

Highlights

  • In smart grid (SG) internet of things (IoT) networks, intelligent electronic devices (IEDs) are to collect the data from different sensors, but they need to transmit it to the control center efficiently [1]–[3]

  • An appropriate channel assignment method is extremely important in planning a multi-radio multi-channel (MRMC) wireless mesh networks (WMNs) [8], [9] because limited channel resource is shared with all the IEDs which are equipped with more than one

  • In this paper, a network model is built based on MR-MC WMN with partially overlapping channels (POCs) in SG communications

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Summary

INTRODUCTION

In smart grid (SG) internet of things (IoT) networks, intelligent electronic devices (IEDs) are to collect the data from different sensors, but they need to transmit it to the control center efficiently [1]–[3]. A wireless mesh networks (WMN) can provide flexible and reliable infrastructure for SG-IoT by applying MRMC technology in the IEDs severed as network nodes to connect with the control center [7] to improve the network capacity. To maximize the spectrum resource utilization and enhance network performance, partially overlapping channels (POCs) are assigned to the MRMC WMN in the smart grid IoT in this work. The game model is built to solve the POC assignment problem for differentiated QoS requirements in smart grid.

RELATED WORKS
PROBLEM FORMULATION AND GAME MODEL
NASH EQUILIBRIUM ANAYLSIS
VARIABLE LEARNING STEP CHANNEL ASSIGNMENT ALGORITHM
SIMULATION RESULTS AND ANALYSIS
CONCLUSION
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