Heuristic node localization method in wireless sensor network

Abstract

The invention discloses a heuristic parameter adaptive localization method in a wireless sensor network. By setting an automatic RSSI-d (Received Signal Strength Indicator-Distance)training area in the network, RSSI-d model training is effectively realized; the anchor nodes in the network are arranged in the pattern of an equilateral triangle, and the anchor nodes are set to uniform equipment; when a piece of unknown equipment enters the network area, the unknown equipment first enters the RSSI-d model training area to have RSSI-d model training and obtain the RSSI-d model curve relative to the current network anchor node; and in such way, distance-measuring error caused by differences of the equipment can be eliminated. Simulation results show that the method disclosed by the invention overcomes the disadvantages of the prior art; and the localization precision of the unknown nodes in the wireless sensor network is improved, the contradiction among the localization precision, the localization energy consumption and the localization time are effectively balanced, and thereby the localization performance of the unknown nodes is improved. Under the condition of the same relative localization parameters, the localization precision is higher than that of the existing technical scheme.

Description

technical field [0001] The invention relates to a node positioning method suitable for a wireless sensor network, and belongs to the technical field of wireless communication. Background technique [0002] Acronyms and key term definitions [0003] WSN Wireless Sensor Networks Wireless Sensor Networks [0004] LQI Link Quality Indication link quality indication [0005] RSSI Received Signal Strength Indication Received Signal Strength Indication [0006] Wireless sensor network (WSN) is a new development direction in the field of information technology, and it is also the result of cross-disciplinary between emerging disciplines and traditional disciplines. It integrates sensor technology, embedded computing technology, distributed information processing technology and network communication technology. It is a new field in information technology and is considered to be one of the technologies that have a great impact on the 21st century. Due to the great application valu...

AI Technical Summary

Problems solved by technology

[0036] (3) The existing technical scheme 1 has a common disadvantage with other positioning schemes: it fails to fully consider the heuristic and decisiveness of unknown nodes for their own positioning

For example, the unknown node sends a certain amount of data packets to the Anchor and obtains the average value of RSSI to eliminate the unstable error caused by a small amount or a single RSSI. When the number of data packets is larger, the RSSI value is more accurate. However, the unknown node and the Anchor consume The energy and positioning time will increase

Therefore, there are contradictions in the three indicators of positioning accuracy, positioning energy consumption, and positioning time. Effective algorithms can be designed to balance the contradictions between the three. The current technical solutions do not consider this factor

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