CSS (chirp spread spectrum) distance measurement-based wireless sensor network distributed node positioning method

Abstract

The invention discloses a CSS (chirp spread spectrum) distance measurement-based wireless sensor network distributed node positioning method. The method comprises the following steps: using a distance vector exchange protocol to enable information interaction to be carried out between anchor nodes and unknown nodes in a wireless sensor network so as to enable the nodes to be located to obtain identities (IDs) and position coordinates of the anchor nodes within the 1-jump range; simultaneously establishing a corresponding anchor node information table; inquiring the anchor node information table of the nodes to be located; when the number of the anchor nodes within the 1-jump range is more than or equal to 3, acquiring the positions of the nodes to be located by a CSS distance measurement-based trilateral localization algorithm; upgrading the nodes acquiring the self positions to be the anchor nodes, and broadcasting the information of the self IDs and position coordinates of the updated anchor nodes to the surrounding neighbors in a broadcasting way; recording the information of the IDs and the position coordinates of the updated anchor nodes into the self anchor node information tables by the neighbor nodes to be located to realize the self node location.

Description

technical field [0001] The invention relates to the field of wireless sensor network node positioning, in particular to a WSN (Wireless Sensor Network, wireless sensor network) distributed node positioning method based on CSS (Chirp Spread Spectrum, Chirp Spread Spectrum) ranging. Background technique [0002] Wireless Sensor Network (WSN) is a multi-hop ad hoc network formed by a large number of sensors deployed in the monitoring area through wireless communication. It has the advantages of rapid deployment, self-organization, low cost, and ability to work in harsh and special environments. It has been widely used in battlefield monitoring, environmental monitoring, industrial control, health care, smart home and other fields. In many applications of wireless sensor networks, the location information of sensor nodes is very important, because monitoring data without node location information is often meaningless. The precise positioning of the node itself is the premise of...

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Problems solved by technology

[0004] Although researchers have proposed a variety of methods to improve the above algorithm, the existing wireless sensor network node positioning methods still have the following problems that need to be solved urgently: (1) Due to the influence of the surrounding harsh environment on the wireless signal, the traditional ranging Methods such as TOA / TDOA, AOA, RSSI, etc. cannot obtain good ranging accuracy, resulting in a decrease in node positioning performance; (2) How to reduce the accumulation of ranging errors in large-scale wireless sensor networks; (3) Due to the number of sensor nodes A large number of centralized positioning algorithms are no longer effective, which requires each sensor node to be able to distribute its own location information to achieve network energy balance

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