Development of New Assay methods of Antispasmodics NSAID's by HPLC

Abstract

A Wireless Sensor Networks (WSN) comprises of numerous sensor nodes which can be used as an effective tool for data collection in different applications like remote health care, war field surveillance, environmental monitoring, smart farming etc. WSN has rapidly gain massive global attractions which gives a new perspective to deal with things contrary to the traditional approach of performing tasks. WSN nodes are multifunctional, low-cost processing and sensing unit with a limited pre-installed battery capacity that are directly or indirectly connect and collaborate with each other. These nodes organize themselves in their environment to gather information, process it, share and transmit collected data at end-point that provide unattended operations or less human intervention which reduce financial cost and minimize the risks. As GDP is the key factor of the country in terms of economic health and services capability in an international market from various industries like textile, manufacturing, agriculture etc. So, the minimization of financial losses to increase the overall GDP is utmost important. One of the major challenges of WSN is to collect aggregated data with minimum energy consumption from sensor nodes to base station. In this thesis, the focus is to enhance the network performance with minimum energy consumption based on the Hybrid Multi-Tier Mobile Data Collector (MDC) based Cluster / GRID routing protocol. This protocol makes use of a GRID / Cluster based Multi Tier architecture and uses multi-hop communication mechanism between clusters and base station. The Hybrid Multi-Tier MDC based protocol shows substantial improvements in minimizing sensor nodes’ energy consumption and improve the network life. Hence, the better instantaneous monitoring, increase administrative power on going tasks, in depth historical insight, and smart decision making become possible with minimal investment that strength farmers and assure higher revenue.