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LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol optimization method based on ant colony algorithm

An ant colony algorithm and protocol optimization technology, applied in computing, computing model, nan and other directions, can solve the problems of shortening, affecting the overall performance of the network, uneven energy consumption of nodes, etc., to reduce energy consumption, energy consumption balance, growth rate slow effect

Inactive Publication Date: 2017-09-29
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the selection of random cluster heads is likely to cause uneven energy consumption of nodes in the network, shortening the
[0004] The network life cycle makes monitoring blind spots in the later stage of the network life cycle, affecting the overall performance of the network

Method used

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Experimental program
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specific Embodiment approach 1

[0021] The LEACH protocol optimization method based on the ant colony algorithm of the present embodiment, the LEACH protocol optimization method based on the ant colony algorithm is realized through the following steps:

[0022] Step 1. In the initialization phase, the Sink node obtains the network topology and network energy of the sensor network, and creates the conditions required for cluster establishment;

[0023] Step 2: Establish a cluster according to the pre-divided area, use the node with higher energy as the cluster head, exchange information between adjacent cluster heads, update the routing table, and calculate the information degree concentration. Cluster head communication reduces system energy consumption and transmission delay;

[0024] Step 3: The cluster head completes data fusion, removes redundant data, reduces communication traffic, establishes inter-cluster routing, completes inter-cluster routing by selecting the next-hop cluster head, and sends data t...

specific Embodiment approach 2

[0031] Different from the specific embodiment one, in the LEACH protocol optimization method based on the ant colony algorithm of this embodiment, the process of establishing a cluster according to the pre-divided area described in step two is specifically: in the cluster establishment stage, each node according to its own The generated random number is used to independently decide whether to be selected as a cluster head, and broadcast to notify the entire network. In the first round of selection process, the entire network is divided into several areas according to the number of cluster heads, and a cluster head is selected in each area to ensure The balance generated by the cluster head starts from the second round, considering the factor of the current energy of the node, and setting a threshold T ( n ) 1 , to select the second round of cluster heads, the threshold T ( n ) 1 defined as: ;in: E current is the current remaining energy of the node, E total In order ...

specific Embodiment approach 3

[0033] Different from the specific embodiment 1 or 2, in the LEACH protocol optimization method based on the ant colony algorithm of this embodiment, the search angle described in step 4 specifically refers to: the search angle is the cluster head node and any two clusters around it The connection line of the head node is used as the angle bisector, and the search angle is to limit a range for the traversal of nodes, and only the nodes within the search angle are the next possible ones.

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Abstract

The invention discloses an LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol optimization method based on an ant colony algorithm. In a wireless sensor network, selection of random cluster heads is easy to cause non-uniform energy loss of nodes in the network and reduction of a network life cycle, so monitoring blind spots are formed in the later period of network lifetime and the integrated performance of the network is influenced. The method provided by the invention comprises the steps that a sink node obtains a network topology and network energy; the nodes with relatively high energy are taken as the cluster heads; the cluster heads finish fusing data and remove redundant data; artificial ants search next hop nodes according to a method combining a transfer probability and the annular model limited distance; if paths searched by adjacent three times are the same within the iteration times or the maximum of the iteration times reaches, the search is finished. According to the method, the energy consumption is reduced and the relatively high performance is achieved in an aspect of improving the network life cycle.

Description

Technical field: [0001] The invention relates to an ant colony algorithm-based LEACH protocol optimization method. Background technique: [0002] Wireless sensor network (Wireless Sensor Network, WSN) is a self-organizing measurement and control network system composed of a large number of sensor nodes with specific functions, which has data acquisition, detection, perception and control. It is used in many fields such as military, medicine, industry and agriculture. Wireless sensor networks are provided by batteries, so under the constraints of limited energy, reducing the energy consumption of nodes, prolonging the life cycle of the network and the reliability and scalability of network transmission are the hotspots in the research and application of wireless sensor networks. [0003] In wireless sensor networks, LEACH (Low-Energy Adaptive Clustering Hierarchyprotocol, LEACH protocol) protocol is the first hierarchical routing protocol based on multi-cluster structure, an...

Claims

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Application Information

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IPC IPC(8): H04W40/10H04W40/20H04W40/24G06N3/00H04W4/00
CPCG06N3/006H04W40/10H04W40/20H04W40/248Y02D30/70
Inventor 刘姗姗侯海莹
Owner HARBIN UNIV OF SCI & TECH
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