Framework And Feature Equivalence Study Of Localization Techniques For Wsn

Two-dimensional localization process of sensor entities is gaining immense research interest, due to its applications not only in the field of Wireless Sensor Network (WSN) or Internet of Things (IoT), but also in disciplines that are radically different than mainstream areas such as healthcare, food processing, construction, etc. Having knowledge of information about location of origin of data is crucial from point of view of adding relative relevance to that data. However, the embedded system, which is the major base of development for WSN and IoT as well as the taxonomy of node structures, imposes constraints on selection and development of localization scheme. Through this research effort, we will try to model basic localization schemes and evaluate their tradeoffs between achieved accuracy and expense, energy cost. In the end, few new dimensions to the existing localization problem are also discussed