Research on the Selection Strategy for Optimal Anchor Nodes Based on Ant Colony Optimization

نویسندگان

  • Baoxin ZHAO
  • Bi ZENG
چکیده

With the progress of research on Wireless Sensor Network, location in Wireless Sensor Networks has become a very important research topic. There must be unable location area that is called blind zone in this paper due to the randomness of the nodes deployment. In order to improve the localization accuracy of the blind node in blind zone, a new anchor nodes selection algorithm was proposed based on ant colony algorithm and location constraints. The length of the path and the number of the hop count are all the constraints of the evaluation function, then through the ant colony algorithm we can find the shortest and the fastest route, which is used to the blind node’s localization. The new algorithm is easy to achieve, the experimental results show that the algorithm can obviously improve the accuracy of the localization in blind zone. Copyright © 2014 IFSA Publishing, S. L.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ant Colony Optimization for Multi-objective Digital Convergent Product Network

Convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize the convergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure the nodes and each arc in the network is considered to be a link between two nodes. The aim is to find an optimal tree of functionali...

متن کامل

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 probabili...

متن کامل

OPTIMIZATION OF TREE-STRUCTURED GAS DISTRIBUTION NETWORK USING ANT COLONY OPTIMIZATION: A CASE STUDY

An Ant Colony Optimization (ACO) algorithm is proposed for optimal tree-structured natural gas distribution network. Design of pipelines, facilities, and equipment systems are necessary tasks to configure an optimal natural gas network. A mixed integer programming model is formulated to minimize the total cost in the network. The aim is to optimize pipe diameter sizes so that the location-alloc...

متن کامل

Fuzzy-rough Information Gain Ratio Approach to Filter-wrapper Feature Selection

Feature selection for various applications has been carried out for many years in many different research areas. However, there is a trade-off between finding feature subsets with minimum length and increasing the classification accuracy. In this paper, a filter-wrapper feature selection approach based on fuzzy-rough gain ratio is proposed to tackle this problem. As a search strategy, a modifie...

متن کامل

Combining Harmony search algorithm and Ant Colony Optimization algorithm to increase the lifetime of Wireless Sensor Networks

Wireless Sensor Networks are the new generation of networks that typically are formed great numbers of nodes and the communications of these nodes are done as Wireless. The main goal of these networks is collecting data from neighboring environment of network sensors. Since the sensor nodes are battery operated and there is no possibility of charging or replacing the batteries, the lifetime of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014