Method for realizing average clock synchronization of wireless sensor network through cluster averaging

Abstract

The invention discloses a method for realizing the average clock synchronization of a wireless sensor network through cluster averaging, which comprises the following steps of: (1) dividing the wireless sensor network into a plurality of interlinked intersectant clusters; (2) broadcasting a synchronous signaling to a physical channel at one time by using a transmitter, and respectively recording the local signaling-received time of each inter-cluster node by the inter-cluster nodes; (3) sequentially sending the recorded local times to other nodes by the inter-cluster node until the last node receives the local times, calculating the average value of all the local times, and sequentially sending the average value to other nodes, so that all nodes adjust the phases of the local clocks thereof according to the average value so as to update the local clock of each inter-cluster node to the average value, thereby realizing the local synchronization of the inter-cluster nodes; and (4) repeating the steps (2) and (3) until a synchronization error reaches a threshold, then stopping circulating, thereby realizing the integral clock synchronization of the whole network. By using the method disclosed by the invention, the energy consumption is reduced, and the time synchronization accuracy and the network expandability are improved, therefore, the method can be applied to large-scale network clock synchronization.

Description

technical field [0001] The invention belongs to the field of wireless communication networks, and relates to a method for synchronizing average clocks of wireless sensor networks, which is used to improve the scalability of the network, so that the clocks of network nodes can be quickly and stably synchronized with the average value of node time in a distributed manner. Background technique [0002] With the advancement of microelectronics technology, embedded computing technology and wireless communication technology, the rapid development of low-power multifunctional sensors has been promoted, enabling them to integrate multiple functions such as information collection, data processing and wireless communication in a small volume. Wireless sensor network (WSNs) is composed of a large number of cheap micro-sensor nodes deployed in the detection area, and forms a multi-hop self-organizing network system through wireless communication. information and transmit it to a remote ...

AI Technical Summary

Problems solved by technology

Although this method can have high synchronization accuracy, the network traffic overhead is high, and the computational complexity is also very large.

[0007] To sum up, many existing clock synchronization protocols have the defect of low synchronization accuracy. At the same time, the high network traffic overhead and high computational complexity also make the energy consumption of the network too large, especially for large-scale WSNs. Affects the lifetime of network nodes and ultimately limits the scalability of the network

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