Artificial fish swarm optimization positioning method for unknown sensor nodes in wireless sensor network
A sensor node, wireless sensor technology, applied in network topology, wireless communication, service based on location information, etc., can solve the problems of complex algorithm and low positioning accuracy of positioning algorithm
Pending Publication Date: 2020-12-08
TAIYUAN UNIV OF TECH
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Problems solved by technology
[0004] In order to solve the problems of low positioning accuracy and complex algorithm of the existing ranging-based positioning algorithm, the present invention provides an artificial fish school optimization positioning method for unknown sensor nodes in a wireless sensor network
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[0071] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0072] refer to figure 1 , the present invention provides a wireless sensor network unknown sensor node artificial fish school optimization positioning method, comprising:
[0073] The unknown sensor node P receives the signals of the beacon nodes that can be received around it, and converts the received signal strength value into the distance value between the unknown sensor node and the corresponding beacon node;
[0074] Collect the coordinates of any two beacon nodes A and B, calculate the distance between beacon nodes A and B, and the distance between unknown sensor nodes and beacon nodes A and B;
[0075] Determine whether the unknown sensor node P is collinear with the beacon nodes A and B, if collinear, calcula...
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The invention discloses an artificial fish swarm optimization positioning method for an intersection point of two circles of an unknown sensor node of a wireless sensor network, relates to a wirelesssensor network positioning technology, and is used for acquiring accurate position information of the unknown sensor node of the wireless sensor network. The problems that an existing positioning algorithm based on distance measurement is low in positioning precision and complex in algorithm are solved. The method comprises the following steps: converting a signal intensity value indirectly received by a node into an inter-node distance value, solving two possible coordinates P1 and P2 of an unknown sensor node by utilizing known position coordinates of any two beacon nodes A and B around theunknown sensor node, judging the two possible coordinates P1 and P2, and finally determining the coordinates of the unknown sensor node to finish positioning. According to the method, the complexity of the algorithm is reduced, the energy consumption of the node is reduced, and the life cycle of the node is prolonged.
Description
technical field [0001] The invention relates to the technical field of sensor positioning, and more specifically relates to an optimal positioning method for an artificial fish swarm of unknown sensor nodes in a wireless sensor network. Background technique [0002] In recent years, the Internet of Things technology has continuously achieved new results, and has been applied to the fields of national defense, military, environmental monitoring, traffic management, medical and health care, manufacturing, disaster relief, etc. As one of the underlying technologies of the Internet of Things, wireless sensor networks have become a research area. hotspot. Among them, obtaining accurate location information through positioning algorithms is a very important content of wireless sensor networks. [0003] Positioning algorithms are divided into non-ranging-based positioning algorithms and ranging-based positioning algorithms. The positioning accuracy of the ranging-based positionin...
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Login to View More IPC IPC(8): H04W4/02H04W64/00H04W84/18
CPCH04W4/023H04W64/006H04W84/18Y02D30/70
Inventor 乔学工李旭富立琪李芳
Owner TAIYUAN UNIV OF TECH