An Energy Efficient Wireless Sensor Network QOS Multicast Routing Algorithms Based on Ant Colony Algorithm

2012 ◽  
Vol 532-533 ◽  
pp. 1800-1804
Author(s):  
Qi Zhang ◽  
Hai Jun Xiong
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ant Colony Algorithm ◽  
Multicast Routing ◽  
Routing Algorithm ◽  
Minimum Cost ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Energy Constraint ◽  
Multicast Routing Algorithm

Multicast routing technology of wireless sensor network is a method of transferring special data to a group of clients selectively; therefore, quality of the services is the key to evaluate the method. Ant colony algorithm is a bionic optimization algorithm. Improved QoS Multicast Routing Algorithm is proposed based on energy constraint and based on ant colony algorithm, it takes into account the energy cost routing, making the nodes to establish of minimum cost path under the condition of energy constraint. The results show that this algorithm can obtain better energy balance, improve the network services of the time. This algorithm applies to energy-sensitive multicast applications 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.

Research on Routing Protocol for Wireless Sensor Network Based on Ant-Colony Algorithm

2013 ◽  
Vol 411-414 ◽  
pp. 716-720
Author(s):  
Lei Sang ◽  
Duo Long
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Ant Colony Algorithm ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Destination Node ◽  
Head Node

Routing protocol is mainly responsible for seeking optimized path between source node and destination node and forwarding data package along the optimized path in a right way, which is a core link in wireless sensor network. In this thesis, a research on WSN routing algorithm based on ant-colony algorithm is done, targeting the features of WSN and on the basis of the analysis of classic routing protocol. Comparison and analysis of the path and convergence rate of cluster head node are done by means of emulated analysis, which is to some extent innovative and significant to research.

An Ant-Colony Routing Algorithm for Wireless Sensor Network

2013 ◽  
Vol 462-463 ◽  
pp. 112-117 ◽  
Author(s):  
Guang Cai Cui ◽  
Shan Shan Wang ◽  
Jing Jing Fang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ant Colony Algorithm ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Search Space ◽  
Feedback Mechanism ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Destination Node

According to real-time and limited energy of the wireless sensor network (WSN), this paper proposed an ant-colony algorithm (ACO) for optimal routing. The algorithm limited the search space to next node based on search angle and designed directional pheromones to guide ants to the destination node. Using negative feedback mechanism encouraged later ants to choose the optimal path. When ants are timeout with limited life cycle, go back along the way and reduce the pheromone. Probability-transfer function contained the factors of distance, energy, pheromones and search angle. Compared with other ACOs, the results show that it can balance the energy consumption and improve the routing in aspects of energy, dead nodes, short path and time delay.

scholarly journals Study of Wireless Sensor Network Route Based on Improved Ant Colony Algorithm

2016 ◽  
Vol 12 (10) ◽  
pp. 86 ◽  
Author(s):  
Jingyi Bo ◽  
Yubin Wang ◽  
Na Xu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ant Colony Algorithm ◽  
Low Cost ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Font Size ◽  
Energy Equilibrium ◽  
Route Algorithm ◽  
Selection Of

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Combining the characteristics of wireless sensor network, the ant colony algorithm is applied to a wireless sensor network, and a wireless sensor network route algorithm based on energy equilibrium is proposed in this paper. This algorithm takes the energy factor into the consideration of selection of route based on probability and enhanced calculation of information so as to find out the optimal route from the source node to the target node with low cost and balanced energy, and it prolongs the life cycle of the whole network</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span>

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