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Fuzzy decision-based low-power dissipation self-adaption clustering multihop wireless sensor network topology control method

A wireless sensor, fuzzy decision-making technology, applied in the direction of network topology, wireless communication, energy reduction, etc., to achieve the effect of improving energy consumption efficiency and scalability

Active Publication Date: 2015-03-04
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently a lack of research results on the application of soft computing to large-scale WSN routing protocols.

Method used

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  • Fuzzy decision-based low-power dissipation self-adaption clustering multihop wireless sensor network topology control method
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  • Fuzzy decision-based low-power dissipation self-adaption clustering multihop wireless sensor network topology control method

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Embodiment 1

[0041] A fuzzy decision-based low-power self-adaptive clustering multi-hop wireless sensor network topology control method of the present invention also adopts a round as a cycle in the LEACH protocol, and is divided into two stages of establishment and stabilization. In the establishment phase, there are three steps: cluster head election, clustering, and inter-cluster routing selection; in the stable phase, it is data transmission. Each cluster head is responsible for collecting the information collected by the nodes in the cluster, and then communicates with the base station according to the routing path. . The detailed process will be given below.

[0042] In this method, the basic assumptions set mainly include:

[0043] (1) The area detected by the sensor network is square or rectangular, the network scale is large and the base station is located at a relatively long distance in the area, and after the deployment of the base station and sensor nodes is completed, all posi...

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Abstract

The invention provides a fuzzy decision-based low-power dissipation self-adaption clustering multihop wireless sensor network topology control method, which is aimed at solving the problem of uncertainty of node energy dissipation and communication path in a self-organization wireless sensor network (WSN). A round is a cycle. Each round comprises an establishment stage and a stabilization stage, wherein the establishment stage comprises three steps of cluster head election, clustering, and route selection among clusters, and the stabilization stage comprises the step of data transmission. The method introduces a concept of fuzzy set, and selects excellent communication relay nodes by using a theory of fuzzy decision, so that a dynamic network route structure is formed. The method provided by the invention can adapt to more network conditions more effectively, balance energy and prolong life cycle of the network.

Description

technical field [0001] The invention relates to a wireless sensor network topology control technology, in particular to a clustering multi-hop network topology control method based on fuzzy decision-making. Background technique [0002] With the development of wireless sensor network technology, sensor network has been widely used in intrusion detection, weather monitoring, security and tactical reconnaissance. The network topology control method of wireless sensor network is one of its core technologies, and it is also a hot topic of theoretical research. At present, the existing research work focuses on energy saving, security, network QOS and other goals, and a series of technologies have been formed, including energy-saving routing protocols, data aggregation technology, energy harvesting technology, and secure routing. Due to the limited energy of nodes, how to reduce the energy consumption of nodes and prolong the life cycle of the entire network has become a key fact...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/02H04W84/18
CPCH04W40/02H04W40/10H04W84/18Y02D30/70
Inventor 许峰
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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