A Review on Localization Process and Localization Measurement Techniques in Wireless Sensor Networks (original) (raw)

Review on Localization Techniques in Wireless Sensor Networks

International Journal of Computer Applications, 2015

The wireless sensor networks are prone to various connectivity, coverage and localization issues. All of these three terms are related to the neighbor formation, connectivity and convergence of the sensor networks. There are several existing solutions available against these problems. This paper proposes a survey on the techniques to overcome the issues of coverage, convergence and neighbor formation. The techniques surveyed under this survey are novel threedimensional localization DV-Hop algorithm (NTLDV-HOP), distance vector hop (DV-HOP), Received Signal Strength Indicator (RSSI) and the correction value based DV-HOP (RCDV) and correction value based DV-HOP (CDV). Under this survey, we have evaluated all of these techniques for their effectiveness in various situations on the basis of theoretical analysis. This theoretical analysis is based upon the critical evaluation of the existing WSN localization techniques mentioned above. These are termed as the best available techniques for the WSN localization, but having different natures and adaptable and effective in scenarios of their adaptation environment.

Exploring Localization in wireless sensor network

Node Localization in Wireless Sensor Networks (WSN) refers to determining the location of sensor nodes which are deployed in sensor field that are responsible for monitoring applications like environment perceived applications, tracking, traffic monitoring etc. This paper covers the localization techniques and study which algorithm provides higher accuracy, low expense and better power utilization.

SURVEY OF DIFFERENT LOCALIZATION TECHNIQUES OF WIRELESS SENSOR NETWORKS

Node localization is essential to report the origin of tasks, support group query of sensors, routing and to answer questions on the network exposure. So, one of the basic challenges in wireless sensor network is node localization. This paper reviews different techniques of node localization in wireless sensor networks. The general idea of the schemes proposed by different scholars for the enhancement of localization in wireless sensor networks is also presented.

A Review on Localization Algorithms in Wireless Sensor Networks

2014

In wireless sensor networks (WSNs), nodes are deployed in sensor fields for monitoring and controlling the physical environments. Node localization is fundamental challenge in wireless sensor networks as without knowing the location of nodes sensed information will have no value. Therefore, it is vital that nodes must know their location. This paper provides a review of basic techniques for localization. The localization algorithms are classified into GPS based or GPS free, Anchor based or Anchor free, Centralized or Distributed and Range based or range free. Paper further discusses limitations of each of the algorithms.

Localization Techniques for Wireless Sensor Networks: A Review

Wireless sensor networks (WSNs) have recently emerges as promising technology in wireless communication field and gained special attention by research groups. It uses small and cheap gadgets with low energy requirements and limited on board computing resourceswhich communicates with each other's or base stations without any pre-defined infrastructure. The property of being infrastructure less makes it suitable in distinctive application situations including remotemonitoring, disaster management, military applications and biomedical health observing devices. In many of these applications, node localization is unavoidably one of the important system parameters for example in target tracking if the nodes are not able to obtain the accurate location information, the related task cannot be performed.It is also helpful in routing, network coverage and quarry management of sensors. In general the localization techniques are ordered into two general classifications: range based and range free. In this paper, we discussed the various localization algorithms with their applicable areas, requirements and limitations. Moreover, on conclusion we compare these localization algorithms and analyze the future research directions for the localization algorithms in WSNs.

A Review of Localization Techniques for Wireless Sensor Networks

One problem in wireless sensor network technology is localization problem. In the most applications, the data collected by the network without location information isn't useful. Location information has an important role in both networking and application domains of wireless sensor network. This paper surveys the localization algorithms and proposes a different taxonomy based on key features. In additional, it introduces the important factors to validate the performance of localization techniques.

Localization System for Wireless Sensor Networks

2015

Sensors are frequently being used for monitoring different phenomena of environment, Military, Health, Industry, Automobiles etc., and the information derived from sensed data are being used for making important decisions which directly affects humans and at times human life. This sensed data can only be of use if we know the exact position of the sensor node. This is not always easy as in many real life scenario, the deployment is random and in hostile conditions. Further, replacing a dead or damaged node is not an option in many circumstances. Many different approaches have been proposed by research community for localization information of a node deployed in a target area. In this work, an attempt has been made to review most promising localization methods proposed so far in comparative manner.

A Survey on Method of Localization in Wireless Sensor Network

— Localization is essential process in Wireless Sensor Networks (WSNs) to identify the current location of the event. Manual configuration of location of each sensor node is not possible in inaccessible area. On the hand installing GPS to every sensor is not feasible due to high cost. One way is to equip some node with GPS called anchor node. Based on the location information given by anchor node, other nodes measure their location. Most of the technique use anchor concept. This paper give an overview of node localization component and method used in wireless sensor networks covering its problems. Classification of localization method and several algorithm using genetic algorithm is also discussed.

IJERT-Review on Different Localization Schemes in Wireless Sensor Networks

International Journal of Engineering Research and Technology (IJERT), 2015

https://www.ijert.org/review-on-different-localization-schemes-in-wireless-sensor-networks https://www.ijert.org/research/review-on-different-localization-schemes-in-wireless-sensor-networks-IJERTV4IS070841.pdf Wireless sensors are used for sensing physical quantities from the environment. Usually sensors are scattered in the sensing field. These sensors collect data from the environment and send it to the data collecting device. In many applications like home, military, health sensor location is essential. There are different approaches to locate sensors in the field. Comparison of different localization schemes are studied in this paper. Fixed anchor, mobile anchor, range based, range free are some localization schemes being used.

Localization Techniques in Wireless Sensor Networks

The important function of a sensor network is to collect and forward data to destination. It is very important to know about the location of collected data. This kind of information can be obtained using localization technique in wireless sensor networks (WSNs). Localization is a way to determine the location of sensor nodes. Localization of sensor nodes is an interesting research area, and many works have been done so far. It is highly desirable to design low-cost, scalable, and efficient localization mechanisms for WSNs. In this paper, we discuss sensor node architecture and its applications, different localization techniques, and few possible future research directions.