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
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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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