scholarly journals Uneven clustering routing protocol based on ant colony algorithm for wireless sensor networks

2021 ◽  
Vol 1800 (1) ◽  
pp. 012003
Author(s):  
Wenmei Zhang ◽  
Fubao Liao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Wireless Sensor

Application of Ant Colony Algorithm to the Hierarchical Routing in Wireless Sensor Networks

2014 ◽  
Vol 989-994 ◽  
pp. 1833-1836
Author(s):  
Lei Sang ◽  
Duo Long
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Ant Colony Algorithm ◽  
Routing Algorithms ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Simulation Test ◽  
Hierarchical Routing

Wireless sensor networks (WSN) have become a hot research topic in the field of computer science. Since WSNs are characterized by limited node energy, dynamic topological structure and data fusion, the design of WSN routing protocols is faced with new problems and challenges. In recent years, many new routing algorithms for wireless sensor networks have appeared, but they all have some shortcomings. This paper studies and analyzes these routing protocols, and in view of their shortcomings, proposes a WSN hierarchical routing protocol based on ant colony algorithm. And a simulation test is conducted on this improved routing protocol, and the simulation result proves that this algorithm basically achieves the design objectives of WSN routing algorithms.

Research of the Wireless Sensor Networks Routing Protocol Based on CEJ Ant Colony Algorithm

2011 ◽  
Vol 58-60 ◽  
pp. 1566-1571
Author(s):  
Ji Yue Zheng ◽  
Jun Guo Hu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Current Node ◽  
The Common ◽  
The Times

According to the limitation on radio range of sensor nodes and the shortage of the nodes' energy of wireless sensor networks(WSNs),we proposed a routing protocol based on CEJ ant colony algorithm(Common ants, Energy ants, Jumping ants).In the improved algorithm, the Common ants walk by inducing pheromone； the Energy ants walk by inducing the remaining energy of the nodes that adjacent to the current node；the Jumping ants induce the times they need to hop from the current node to the Sink node。All the ants cooperate to construct the optimum transmission chain eventually. Simulation results show that this algorithm can balance the energy consumption of nodes in the network and prolong the lifecycle of the whole network.

scholarly journals A Self-organizing Wireless Sensor Networks Based on Quantum Ant Colony Evolutionary Algorithm

2017 ◽  
Vol 13 (07) ◽  
pp. 69 ◽  
Author(s):  
Lin-lin Wang ◽  
Chengliang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Evolutionary Algorithm ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Dynamic Adjustment ◽  
Coverage Problem ◽  
Self Organizing

<p><span style="font-size: medium;"><span style="font-family: 宋体;">Aiming at the coverage problem of self-organizing wireless sensor networks, a target coverage method for wireless sensor networks based on Quantum Ant Colony Evolutionary Algorithm (QACEA) is put forward. This method introduces quantum state vector into the coding of ant colony algorithm, and realizes the dynamic adjustment of ant colony through quantum rotation port. The simulation results show that the quantum ant colony evolutionary algorithm proposed in this paper can effectively improve the target coverage of wireless sensor networks, and has obvious advantages compared with the other two methods in detecting the number of targets and the convergence speed. Based on the above findings, it is concluded that the algorithm proposed plays an essential role in the improvement of target coverage and it can be widely used in the similar fields, which has great and significant practical value.</span></span></p>

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