An Improved Localization Algorithm for Wireless Sensor Network

نویسندگان

  • Xiaohui Chen
  • Jing He
  • Jinpeng Chen
چکیده

To improve the localization precision of nodes in Wireless sensor network (WSN), this paper analyses the source of the localization error in the least square localization algorithm (LSL), and it can be concluded that the minimum cumulative relative distance error of the benchmark anchor node directly influence the localization precision. Based on the analyses, this paper proposes an improved least square algorithm, which is the minimum cumulative related distance error in LSL (LSL-MCR) algorithm. In the improved algorithm, we give a new principle to choose the benchmark anchor node. The simulation results indicate that the proposed algorithm can improve the localization precision of the unknown nodes.

برای دانلود 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

A multi-hop PSO based localization algorithm for wireless sensor networks

A sensor network consists of a large number of sensor nodes that are distributed in a large geographic environment to collect data. Localization is one of the key issues in wireless sensor network researches because it is important to determine the location of an event. On the other side, finding the location of a wireless sensor node by the Global Positioning System (GPS) is not appropriate du...

متن کامل

Improve range-free localization accuracy in wireless sensor network using DV-hop and zoning

In recent years, wireless sensor networks have drawn great attention. This type of network is composed of a large number of sensor nodes which are able to sense, process and communicate. Besides, they are used in various fields such as emergency relief in disasters, monitoring the environment, military affairs and etc. Sensor nodes collect environmental data by using their sensors and send them...

متن کامل

Optimizing the Event-based Method of Localization in Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a wireless decentralized structure network consists of many nodes. Nodes can be fixed or mobile. WSN applications typically observe some physical phenomenon through sampling of the environment so determine the location of events is an important issue in WSN. Wireless Localization used to determine the position of nodes. The precise localization in WSNs is a co...

متن کامل

An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...

متن کامل

A Rssi Based Localization Algorithm for WSN Using a Mobile Anchor Node

Wireless sensor networks attracting a great deal of research interest. Accurate localization of sensor nodes is a strong requirement in a wide area of applications. In recent years, several techniques have been proposed for localization in wireless sensor networks. In this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...

متن کامل

An Adaptive LEACH-based Clustering Algorithm for Wireless Sensor Networks

LEACH is the most popular clastering algorithm in Wireless Sensor Networks (WSNs). However, it has two main drawbacks, including random selection of cluster heads, and direct communication of cluster heads with the sink. This paper aims to introduce a new centralized cluster-based routing protocol named LEACH-AEC (LEACH with Adaptive Energy Consumption), which guarantees to generate balanced cl...

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

برای دانلود 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

عنوان ژورنال:
  • Intelligent Automation & Soft Computing

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2011