Wireless sensor network data acquisition method based on predictable mobile Sink position

Abstract

The invention discloses a wireless sensor network data acquisition method based on a predictable mobile Sink position. The method includes the steps of on the basis of sensor nodes undergoing periodical network clustering through an HEED algorithm, calculating coordinate information of a mobile Sink node in a network on the basis of a known network parameter, carrying out routing of data packets to the position where the Sink node is located, and the Sink node periodically collects data from the sensor nodes within specific dwell time of stagnation points on a preset track according to the proportion of data amount generated by each quadrant node in the whole network data amount. Therefore, the method supports the fact that the sensor nodes of the whole network route the data packets to the mobile Sink node in real time, and data collection delay is shortened. The mobile Sink node does not need to broadcast current position information when moving between the stagnation points, so that communication cost is reduced. The dwell time is adjusted continuously at each quadrant stagnation point, so that network energy consumption is balanced and service life of the network is prolonged.

Description

technical field [0001] The invention belongs to the wireless sensor network data acquisition technology, and in particular the invention relates to a data acquisition method for predicting the position of a mobile sink by using a clock maintained by a node, performing network-wide data acquisition, and applying it to WSNs. Background technique [0002] In recent years, with the development of micro-electromechanical systems, wireless communication and digital electronic technology, the application of wireless sensor networks (WSN, wireless sensor networks) has become increasingly widespread, and data acquisition is one of its basic applications. By deploying a large number of sensor nodes in the environment of interest, people collect various data of interest, such as temperature, humidity, sound, image, video, etc., and the collection of large amounts of data, such as the collection of image and video data, provides data collection solutions. The design presents certain cha...

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Problems solved by technology

[0009] 1. Most of the mobile sink data collection protocols based on the cluster topology require the sink to broadcast its own location information to neighbor nodes or cluster heads that are one hop away each time it reaches a data collection point. Broadcasting brings a large energy cost;

[0010] 2. Based on the cluster topology protocol, the cluster heads communicate directly with the mobile sink, which is not suitable for large-scale networks;

[0011] 3. Only nodes in a specific area in the network can transmit data packets to the Sink, and the mobile Sink moves in the network at a relatively low speed, resulting in a large delay in data transmission; due to hardware limitations, the sensor nodes may have the risk of data packet loss due to memory overflow

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