An Improved DV-Hop Localization Algorithm Based on Energy-saving Non-ranging Optimization

نویسنده

  • Yamei Li
چکیده

In order to reduce energy-consumption and hardware investment in wireless sensor networks, an improved DV-Hop localization algorithm based on energy-saving non-ranging optimization is proposed. In this algorithm, only one anchor node broadcasts its position coordinate information to other node, thus greatly reducing the energy consumption of the node. Non-ranging energy-saving optimization algorithm is first adopted, where the size of the anchor node’s average hop and the distance of average hop between anchor nodes are used to estimate the distance between anchor node and unknown node so as to obtain the location coordinates of unknown node. In order to improve the localization accuracy, the ratio of position is introduced to reduce the localization error after obtaining the estimation of coordinates. Simulation experiment results show that compared with the DV-Hop algorithm based on least squares and the DV-Hop algorithm based on improved particle swarm optimization, our proposed localization algorithm can significantly reduce the localization error and the number of anchor nodes, which has better results in the localization accuracy and the energy-saving performance.

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

MPDV-HOP:An improved localization algorithm for wireless sensor networks

In wireless sensor network applications,location information of sensor nodes is critical in the life of the entire network.It is a hot issues to design localization algorithm with higher accuracy and lower cost.In this paper,we propose an improved DV-Hop localization algorithm that improves the localization accuracy.The method is based on the traditional DV-HOP, the average hop distance calcula...

متن کامل

Research on an Improved DV-HOP Localization Algorithm Based on PSODE in WSN

DV-Hop localization algorithm is a range free localization algorithm in WSN (Wireless Sensor Network). In recent years, the research on range-free localization algorithm is one of the hot issue in WSN. DV-Hop algorithm is a simple, convenient operation, high efficiency and low energy consumption. But the the localization accuracy is low. In this paper, we study the traditional DV-Hop localizat...

متن کامل

Improvement over DV-Hop Localization Algorithm for Wireless Sensor Networks

In this paper, we propose improved versions of DVHop algorithm as QDV-Hop algorithm and UDV-Hop algorithm for better localization without the need for additional range measurement hardware. The proposed algorithm focuses on third step of DV-Hop, first error terms from estimated distances between unknown node and anchor nodes is separated and then minimized. In the QDV-Hop algorithm, quadratic p...

متن کامل

An Improved DV-Hop Wireless Sensor Network Localization Algorithm

The positioning accuracy is not high for the range-free localization algorithm DV-Hop in wireless sensor networks and the Particle Swarm Optimization algorithm is proposed to optimize the positioning accuracy of the DV-Hop and the IDV-Hop localization algorithm is also proposed. Firstly, the IDV-Hop utilizes DV-Hop to estimate the measuring distances between nodes to be positioned and the beaco...

متن کامل

Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme

Integrating wireless sensor network (WSN) into the emerging computing paradigm, e.g., cyber-physical social sensing (CPSS), has witnessed a growing interest, and WSN can serve as a social network while receiving more attention from the social computing research field. Then, the localization of sensor nodes has become an essential requirement for many applications over WSN. Meanwhile, the locali...

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:
  • JNW

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014