A method for distributed section networking in wireless sensing network

Abstract

The utility model discloses a distributed cluster-based network construction method for the wireless sensing network. Via nodes, the method exchanges information in a neighborhood scope and obtains partial network information, on the basis of which the nodes are calculated in a weighed way to get the weighed value for competitive cluster head, and then the cluster head is selected and clusters are formed to put an end to the cluster formation of the network. The invention brings the partial network information that is commanded by the nodes into full play, and obtains the weighed value of the most competitive cluster head in a weighed way, thereby realizing the most cluster-based optimization of the network and the load balance of the system. The nodes weighed value of the invention is a dynamic change in the cluster-based process, and a more optimized cluster-based result is accessible. Compared with the prior cluster-based network construction method, the invention has the advantages of easy realization of load balance, the elongation of network survival period and better performance, meets different requirements of different application circs on network performance, and has relatively good adaptability and extensibility.

Description

technical field [0001] The invention provides a clustering networking method of a WSN (Wireless Sensor Network), in particular to a clustering networking method using a distributed algorithm. Background technique [0002] Wireless sensor network (wireless sensor network, WSN) is an emerging frontier research hotspot that has attracted much attention in the world and is highly interdisciplinary. Wireless sensor networks have very broad application prospects, and have important scientific research value and great practical value in many fields such as military defense, industry and agriculture, urban management, biomedicine, environmental monitoring, emergency rescue and disaster relief, anti-terrorism and anti-terrorism, remote control in dangerous areas, etc. , has attracted great attention from the military, academic and industrial circles of many countries in the world, and has become a recognized emerging frontier hot research field since 2000, and is considered to be one...

AI Technical Summary

Problems solved by technology

[0014] The weighted calculation method of the WCA algorithm combines the influence of various network parameters, which can better reflect the load balance compared with other algorithms, but in the wireless sensor network, the considerations of the WCA algorithm are not applicable

In wireless sensor networks, nodes generally do not move, then M v There is no need to consider, and the transmit power of the node is constant, that is, as long as the neighbor nodes of the node are within its coverage area, the power consumption is the same regardless of the distance, so the D v It is also inappropriate as a parameter

In addition, algorithms such as WCA are static in the clustering process after calculating node weights, which in some cases (such as very uneven distribution of node weights) will lead to poor clustering results

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