Backbone network optimization generation method for wireless ad hoc network

Abstract

The invention discloses a backbone network optimization generation method for a wireless ad hoc network which comprises the following steps: step 1, constructing a pattern set X which comprises a setZ; step 2, randomly selecting a non-key node of a sub-graph G (Z) from the set Z, deleting the non-key node from the set Z, and updating the pattern set X; step 3, performing transformation adjustmenton the pattern set X; step 4, if the set in the pattern set X after transformation adjustment is a null set, recording the set Z of the pattern set X after transformation adjustment as a connected dominating set, and returning to the step 2; otherwise, outputting the connection dominating set recorded at the last time. According to the method, the minimum connected dominating set is searched in the undirected graph to serve as the backbone network of the wireless ad hoc network, the calculation time is short, and the target value is smaller.

Description

technical field [0001] The invention belongs to the field of wireless communication, and relates to node management of a wireless ad hoc network or the Internet of Things. It specifically relates to an optimized generation method of a wireless ad hoc network backbone network, which is suitable for large-scale deployment of wireless ad hoc networks, and solves how to determine key nodes from a flat peer-to-peer wireless network, and use key nodes to form the backbone of the ad hoc network structure, thereby improving the efficiency of data transmission in the network and reducing energy consumption of nodes. Background technique [0002] Wireless ad hoc network is usually composed of multiple mobile terminals, which is a multi-hop autonomous network system. The wireless ad hoc structure is flat, in which the status of each node is equal, and there is no physical backbone structure. Different from the traditional network, the nodes in the wireless ad hoc network can directly...

AI Technical Summary

Problems solved by technology

However, when a large number of nodes are deployed in the network, the network is prone to the following problems: (1) When multiple nodes communicate with the same node, the number of communication channels is insufficient; (2) Direct communication between distant nodes will cause equipment Consume a lot of energy, shorten battery life, or cause energy waste of nodes

The solution of the dominating set of the graph structure and most of its variant structures are NP-hard problems, and there is still no perfect solution algorithm

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