Abstract
When solving the routing problem with traditional ant colony algorithm, there is scarce in initialize pheromone and a slow convergence and stagnation for the complex network topology and the time-varying characteristics of channel in power line carrier communication of low voltage distribution grid. The algorithm is easy to fall into premature and local optimization. Proposed an automatic network algorithm based on improved transmission delay and the load factor as the evaluation factors. With the requirements of QoS, a logical topology of power line communication network is established. By the experiment of MATLAB simulation, verify that the improved Dynamic hybrid ant colony genetic algorithm (DH_ACGA) algorithm has improved the communication performance, which solved the QoS routing problems of power communication to some extent.
Highlights
LV-PLC (Low-voltage power line carrier communication) technology has become the key and difficult technology for smart grid development [1]
When solving the routing problem with traditional ant colony algorithm, there is scarce in initialize pheromone and a slow convergence and stagnation for the complex network topology and the time-varying characteristics of channel in power line carrier communication of low voltage distribution grid
For low voltage power line carrier communication networks with complex physical topology and strong interference, these algorithms have some limitations in solving the optimal problem of network path
Summary
LV-PLC (Low-voltage power line carrier communication) technology has become the key and difficult technology for smart grid development [1]. The previous studies have mainly made improvements from the physical layer and data link layer, and these methods have proved incapable of solving reliability of low-voltage power line communication network. For low voltage power line carrier communication networks with complex physical topology and strong interference, these algorithms have some limitations in solving the optimal problem of network path. This paper proposes a dynamic hybrid ant colony genetic algorithm (DH_ACGA) under QoS routing constraints. Because the algorithm was affected by the density of nodes in the network, communication efficiency, communication distance and other conditions, and taking into account the number of hops, bandwidth, delay, error rate, packet loss rate, interference and other indicators [9] [10]. The DH_ACGA under multi-objective constraints is simulated and compared with the ACS algorithm in networking performance
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