Localization in Wireless Sensor Network
نویسندگان
چکیده
منابع مشابه
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 کاملWireless Sensor Network Localization Research
DV-Hop algorithm is one of the important range-free localization algorithms. It performs better in isotropic density senor networks, however, it brings larger location errors in random distributed networks. According to the localization principle of the DV-Hop algorithm, this paper improves the estimation of average single hop distance by using the Least Equal Square Error, and revises the esti...
متن کاملWireless sensor network localization techniques
Wireless sensor network localization is an important area that attracted significant research interest. This interest is expected to grow further with the proliferation of wireless sensor network applications. This paper provides an overview of the measurement techniques in sensor network localization and the one-hop localization algorithms based on these measurements. A detailed investigation ...
متن کاملUnderwater Wireless Sensor Network Localization
This paper reviews the existing localization techniques and parameters in Wireless Sensor Networks (WSNs) and few schemes are discussed in term of Terrestrial WSNs. The fundamental differences between Underwater and Terrestrial WSN are highlighted. Furthermore, the paper analyzes the few existing aquatic localization schemes and presents a discussion in two parts including general localization ...
متن کاملWireless sensor network design through genetic algorithm
In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network criteria and characteristics. Type of deployment, effect of network size, radio communication...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Distributed Sensor Networks
سال: 2013
ISSN: 1550-1477,1550-1477
DOI: 10.1155/2013/457874