Study On Wireless Sensor Networks Node Localization Algorithms Based On DV-Hop

The wireless sensor network is a set of sensor technology, information processing,embedded computing, micro-electromechanical technology, wireless communicationand distributed information processing technology in a kind of new informationacquisition and processing technology, which consists of a large number of sensing,processing, storage and communication capabilities of the sensor nodes, the node objectin its monitoring area for data collection, processing and storage, and importantinformation to the observer wireless ad hoc multi-hop transmission.In the various fieldsof application of the wireless sensor network, Network node self-positioning technologyto become one of the key technologies.DV-Hop localization algorithm targeting is a non-Ranging-based positioningalgorithm, without the need for additional hardware support and high positioningaccuracy, etc., is a cost effective positioning in the DV-Hop localization algorithm,accurate estimates the average hop distance is critical to improve the positioningaccuracy. The average hop distance is estimated to depend on the transmission pathbetween the anchor node, if the transmission path is almost straight, it is estimated thatthe average hop distance error is smaller, there is an obstacle between the anchor node,the estimated average hop distance larger errors.The shortcomings of the DV-Hop localization algorithm to analyze and makeimprovements, improved positioning algorithm anisotropy, any node density andlow-anchor node density wireless sensor networks to obtain better positioning. Themain tasks are as follows:1) for the DV-Hop localization algorithm in anisotropic network anchor nodesbetween obstacles and other factors lead to the transmission path is greater than theEuclidean distance, resulting in an average hop distance estimates are not accurate,resulting in a larger positioning error and other problem, several existing improvedmethod.2) for the DV-Hop problems exist in the anisotropic network, according to thebending angle of the transmission path and the average hop distance between thecontact, the bending angle of the combination of the transmission path for correcting theaverage hop distance Improved DV-Hop localization algorithm.3) Simulation results verify the improved DV-Hop localization algorithm have been improved in a variety of sensor node density and density of anchor nodes andanisotropic network positioning accuracy.