Abstract
The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wireless sensor network. To establish an effective smart grid monitoring system, this research focuses on the design of an effective and safe dynamic network coverage and network nodes deployment method. Multiple simulation scenarios are implemented to explore the variation of network performance with different parameters. In addition, the dynamic barrier coverage method for the actual scene of smart grid monitoring considers the balance between network performance and financial costs.
Highlights
IntroductionWith the development of engineering technology, inspection robots (IR) and wireless sensor networks (WSNs) are more widely used in power grid monitoring system [1]
In the past decades, the world witnessed the evolution of the smart grid
This paper proposes a new method to improve network coverage and improve the performance of delay-tolerant networks (DTNs)
Summary
With the development of engineering technology, inspection robots (IR) and wireless sensor networks (WSNs) are more widely used in power grid monitoring system [1]. In our previous research [2], a robot delay-tolerant sensor network (RDTSN) has been proposed to solve the problem of remote monitoring of transmission lines. This novel mobile WSN combines the characteristics of IR, WSNs and distribution of transmission line to realize remote patrolling and monitoring of smart grid. RDTSN significantly improves the interrupt/delay tolerance and data fault tolerance of distributed WSN monitoring system under the premise of non-real-time data transmission. It is very important to effectively improve the coverage area of WSN, in order to reduce network delay [3]
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