WSN: Localization Concepts and Techniques


  • Satveer Kaur Department of Computer Science, GSSDGS Khalsa College, Patiala – 147001, India
  • Deepam Goyal Department of Mechanical Engineering, National institute of Technical Teachers Training & Research, Chandigarh-160019, India


Context based image retrieval (CBIR), Feature extraction, Text based image retrieval (TBIR).


A WSN contains numerous number of sensor nodes. These nodes are interrelated to make a network. The nodes in the WSN configure a network that route the data across the network to primary location wherever it is analysed and used for a number of objectives. In today’s era, WSNs are commonly used in a lot of application areas related to environment aspects and physical sensations such as medical, military, environmental and air pollution monitoring, traffic management, green house monitoring etc. There are number of applications where sensor networks require location awareness means nodes need to be localized, but it is very costly to mount a GPS receiver in a sensor node. The problem becomes huge if the network is very large. Hence, there should be some mechanism or scheme through which location of unknown sensor nodes can be known without the assistance of GPS or a few numbers of nodes having GPS known as localization. This paper presents localization concepts and techniques which are used to localize the sensor nodes.




How to Cite

Kaur, S. ., & Goyal , D. . (2019). WSN: Localization Concepts and Techniques. International Journal of Technical Innovation in Modern Engineering & Science, 5(4), 1006–1009. Retrieved from