Clustering Routing Algorithm Ant Colony Optimization-Based for Wireless Sensor Network

2014 ◽  
Vol 568-570 ◽  
pp. 594-597
Author(s):  
Jun Ye Zhang ◽  
Dong Ya Chen
Keyword(s):  
Wireless Sensor Network ◽  
Ant Colony Optimization ◽  
Sensor Network ◽  
Wireless Channels ◽  
Routing Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm ◽  
Limited Power ◽  
Dynamic Adaptability

Nodes in wireless sensor network have limited power supply and wireless channels between them are sensitive to interference. In order to make good use of the limited energy, a routing algorithm is proposed which uses the Ant Colony Optimization Algorithm to balance the load of the network and extend the network life, the proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster heads．Simulation results show the feasibility and effectiveness of this algorithm．

A Study on the Energy Balance Ant-Based Routing Algorithm for Wireless Sensor Network

2014 ◽  
Vol 986-987 ◽  
pp. 2104-2107
Author(s):  
Jing Han ◽  
Dong Ya Chen
Keyword(s):  
Wireless Sensor Network ◽  
Energy Balance ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm ◽  
Simulation Results ◽  
Dynamic Adaptability

How to make good use of the limited energy to maximize the network life span is an important problem of the wireless sensor network. The life of WSN depends on the minimum of the residual energy of its nodes. A fair energy balance routing algorithm is proposed which uses the Ant Colony Optimization Algorithm (ACO) to balance the network energy distribution and extend the network life. The proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the Ant Colony to get a tread off between the shortest path and the fair energy balance. Simulation results show that the proposed algorithm is good at balancing the energy, and it effectively extends the span of the network life.

A Clustering Routing Algorithm Based Ant Colony Optimization for Wireless Sensor Network

2012 ◽  
Vol 236-237 ◽  
pp. 1085-1089
Author(s):  
Xian Yi Chen ◽  
Zhi Gang Jin ◽  
Xiong Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Network Lifetime ◽  
Information Fusion ◽  
Routing Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Ant Colony Optimization Algorithm

As ant colony optimization algorithm and clustering routing algorithm were discussed deeply, a clustering routing algorithm based ant colony optimization (CRAACO) for wireless sensor networks has been put forward. To test the performance of CRAACO, simulations have been done from information fusion rates, remaining energy and network lifetime. The experiment results show that the CRAACO can work effectively and may be used in wireless sensor networks.

Wireless Sensor Network Mobile Agent Routing Based on the Improved Ant Colony Algorithm

2014 ◽  
Vol 587-589 ◽  
pp. 2339-2345
Author(s):  
Jia Yan Li ◽  
Jun Ping Wang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mobile Agent ◽  
Large Scale ◽  
Ant Colony Algorithm ◽  
Routing Algorithm ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Redundant Data

This paper proposes a new wireless sensor routing algorithm by combining the ant colony algorithm with the mobile agent technology. This algorithm considers the distance and path energy overhead among nodes and residual node energy, equalizes the energy overhead in the network, improves the update rule of the ant colony information elements and speeds up convergence of the ant colony algorithm to get the optimal values. The simulation results indicate that this algorithm can improve the globalization and convergence speed, effectively reduce redundant data transmission and communication overhead, extend the network lifecycle and be very suitable for a large-scale wireless sensor network compared to other mobile agent routing algorithms.

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