An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network

doi:10.12204/j.issn.1000-7229.2023.01.010

Abstract

Abstract:

In order to enhance the business support ability and save economic cost of power distribution internet of things, this paper proposes an optimal deployment method of the distribution edge computing terminals for software defined network (SDN). Base stations of power wireless private network are rich in data flow and service flow. Using the location of wireless base stations to deploy distribution edge computing terminals has significant advantages. This paper introduces the edge computing architecture of power distribution internet of things for software defined network, and establishes the models of business, intelligent terminal and edge computing terminal. Further, considering the communication mode constraints of edge computing terminal, intelligent terminal and SDN controller, and the constraints of service delay and hardware configuration of edge computing terminal, aiming at the sum of annual average equipment cost and annual average operation cost, this paper establishes an optimal deployment model of distribution edge computing terminals. Finally, the effectiveness of the proposed method is verified by the simulation results of a multi-scenario example.

This work is supported by the Key Research and Development Program of Guangdong Province (No. 2019B111109002).

Key words: power distribution internet of things, software defined network (SDN), edge computing terminal, wireless base station, optimal deployment

CLC Number:

TM73

QIN Qiang, LIU Wenze, TAN Weihao, CAI Zexiang, CEN Bowei, KUANG Pei. An Optimal Deployment Method of Distribution Edge Computing Terminals for Software Defined Network[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 82-90.

Figures/Tables 14

Fig.1 Edge computing architecture of power distribution internet of things for SDN

Table 1 Association between node and business

Table 2 Service parameters

Table A1 Operated years constant

Table A2 Conversion coefficient constant

Table A3 Hardware parameter constant

Table A4 Communication parameter constant

Table 3 Optimal deployment results under standard condition

Fig.2 Total cost and delay under standard condition

Table 4 The best deployment scheme

Table 5 Optimal deployment results of fixed calculate hardware parameter

Fig.3 Total cost and delay of fixed calculate hardware parameter

Table 6 Optimal deployment results of changed concurrency rate

Fig.4 Total cost and delay of changed concurrency rate

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