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Article

EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust models has shown significant improvement in the security mechanism of the wireless sensor networks. This paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models in WSNs. ACO application in routing, increase in lifetime, energy

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1243–1260

Article

ADAPTIVE MOBILE ANCHOR LOCALIZATION ALGORITHM BASED ON ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

In wireless sensor networks (WSNs), node’s locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In this paper, we propose an adaptive mobile anchor localization algorithm based on ant colony optimization , firstly, some virtual anchor nodes are distributed in the area, second, ant colony was used which has the maximum of transition probabilities to obtain the optimal path, last, the centroid-weighted localization algorithm was proposed to

Yan Hong Lu, Ming Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1943–1961

Article

Design of Routing Protocol and Node Structure in Wireless Sensor Network based on Improved Ant Colony Optimization Algorithm

Wireless sensor network is composed of many wireless sensor nodes with the same or different functions. A typical sensor node consists of four parts: sensor unit, information processing unit, wireless communication unit and energy supply unit. In this paper, the existing ant colony algorithm is analyzed, and an improved ant colony optimization algorithm is proposed. The paper presents design of routing protocol and node structure in wireless sensor network based on improved ant colony

Yan Song, Xiaomei Yao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 168–172

Research Article

SELF-TUNING FUZZY SPEED CONTROLLER OF TRAVELLING WAVE ULTRASONIC MOTOR

fuzzy controller become a sophisticated task. In this paper, the design method of fuzzy controller based on fuzzy model is described in detail. Rules of the fuzzy controller are optimized offline using ant colony optimization, and the appropriate parameters of fuzzy controller are also ascertained during the process of optimization. The designed controller is used to control the rotating speed of traveling wave ultrasonic motor with the type of USR60. According to the difference between the actual

Jingzhuo Shi, Juanping Zhao, Zhe Cao, Yunpeng Liang, Lan Yuan, Bin Sun

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 301–320

Article

Multi Objective Optimization of Virtual Machine Migration Placement Based on Cloud Computing

How to improve the resource utilization of the cloud computing system has been one of the key content of the research of the cloud computing. The traditional multi-objective ant colony optimization was improved, studied the virtual machine live migration framework, combined with the elimination method to solve virtual machine migration and placement of multi-objective optimization problem, the load balanced specific strategies are integrated into the framework of a dynamic migration, simulation

Sun Hong, Tang Qing, Xu Liping, Chen Shiping

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 120–129

Article

APPLICATION OF ANT-COLONY ALGORITHM TO THE ISSUE OF IMPROVING RECTIFIED VOLTAGE PARAMETERS IN ELECTRIC TRAM TRACTION

Barbara Kulesz, Andrzej Sikora, Adam Zielonka

Transport Problems , ISSUE 2, 133–144

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