Routing algorithm of smart grid data collection based on data balance measurement model

Abstract

Data collection communications system for electric power communication network is an important entity network in electric power system. It's significant to provide a reasonable routing mechanism for data collection system. The major risk of original routing mechanism is the burst congestion. In the data collection network of smart grid, that some nodes may suffer from more congestion than others even become the bottleneck of network become the new source of risk. In order to overcome these problems, this paper proposes a routing mechanism to realize data balance. This mechanism firstly abstracts a multigate network model of data collection system. Then, it proposes a routing measurement model to balance data traffic named data balance measurement model (DBMM). Subsequently it proposes a routing algorithm based on DBMM, named RA-DBMM. The RA-DBMM handles the data traffic to achieve data balance by modifying the routing decision measurement function. So the queue length of queuing data and buffer capacity of every nodes are taken into consideration. Simulation illustrates that the proposed RA-DBMM has biggish enhancement in minishing the congestion, reducing loss ratio, overcoming bottleneck and increasing throughput of network.