scholarly journals An ant colony optimization approach for reputation and quality-of-service-based security in wireless sensor networks

2008 ◽  
Vol 2 (2) ◽  
pp. 215-224 ◽  
Author(s):  
Sanjay Kumar Dhurandher ◽  
Sudip Misra ◽  
Mohammad S. Obaidat ◽  
Nidhi Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Optimization Approach

scholarly journals A Quality of Service Routing Algorithm in Wireless Sensor Networks

2017 ◽  
Vol 13 (07) ◽  
pp. 47
Author(s):  
Xiaoqing Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Routing Algorithm ◽  
Secure Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Font Size

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the cr</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">edit evaluation mechanism, and introduces the node 's credit as the control factor to obtain better security performance. The algorithm first cuts the network topology according to the QOS requirements, kicks out the nodes that do not meet the QOS requirements, and then quickly converges the route to the optimal route according to the ant colony optimization method. Finally, the security analysis of the algorithm is carried out from various aspects of network layer attack.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US"> The experimental results show that the algorithm has very good performance in wireless sensor networks. As a result, it is concluded that it can be widely applied in wireless sensor networks.</span>

An Ant Colony Optimization Approach to Power Allocation in Wireless Sensor Networks

2012 ◽  
Vol 263-266 ◽  
pp. 954-958
Author(s):  
Xiang Yang Liu ◽  
Da Wang ◽  
Jin Pan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Power Allocation ◽  
Detection Performance ◽  
Ant Colony ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Ant Colony System ◽  
Optimization Approach

The ant colony optimization algorithm is good at solving multidimensional optimization problem. The allocation of power resource of a node in wireless sensor networks should make the detection performance of the whole network maximum, which is complex due to the detection probability of the whole system cannot be expressed explicitly. Therefore, continuous ant colony system (CACS) is adopted to optimize the allocation of each node’s power between sensing and communications. The results show that it can lead to a good power allocation. At the same time, the scheme that all sensor nodes have identical power assignment can achieve nearly the same detection performance as compared that achieved by the best scheme searched by CACS. As a result, particu-larly for a large number of sensors, an identical power allocation scheme for each node can be employed to achieve nearly the best detection performance.

Quality of Service in Wireless Sensor Networks: A Survey and Related Patents

2011 ◽  
Vol 4 (3) ◽  
pp. 188-202 ◽  
Author(s):  
Josip Balen ◽  
Drago Zagar ◽  
Cesar Viho ◽  
Goran Martinovic
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Wireless Sensor
Sign in / Sign up

Export Citation Format

Share Document