A non-iterative localization approach for wireless virtual sensor networks

Efforts have been made to improve the efficiency, features and performance of Wireless sensor networks (WSNs) taking advantage of the improvements in the technology. Reduced cost and increased features had strong hold on the interest of the researchers. The continued study in improving the efficiency of wireless sensor network has led to localization. Localization is defined as a process of determining the geographical location of the sensor nodes deployed in the network. In this work we study the need for localization. Seek various existing localization techniques such as Chan, Fang, Taylor iterative and Hybrid optimization Taylor iterative to obtain accurate and precise location information along with energy efficiency. Burgeoning branch of sensor networks is the Wireless Virtual sensor Network (WVSN). In this research we also provide the non-iterative localization approach for WVSN using Multi-Dimensional Scaling (MDS) method. It is observed that virtual sensor provide solutions to many loopholes of WSN such as node failures, intermittent data collection and the in ability to place the physical sensors in the region of interest. The need for localization and the performance of MDS is further studied by deploying a wireless sensor network using Crossbow Sensor nodes.