It can be admitted that multi robot systems have better possibilities of success in accomplishing surveillance and rescue missions. In proposed system, a multi robot system based on swarm intelligence is developed which will help in surveillance with real time data uploading on cloud using IoT and perform rescue missions. The objective of this paper is to develop wireless intercommunication between multiple agents so that they perform the given task in synchronized manner and to develop a control strategy for robots using PID technique and further optimizing it using ant colony optimization (ACO) algorithm. The presented system consists of two robots with temperature sensing, fire sensing and hazardous gas sensing features and a hand held device which receives this information and handheld device is incorporated with the NodeMCU unit that upload the data on BLYN app. These robots also have capability of sending live videos using wireless camera. The paper also consists of development of hardware along with simulation results of the system.
To improve the production of agricultural, monitoring of the different parameters in the field has been proven to be the powerful tool. With the advent of technology crop monitoring may be achieved at very precise level; however Wireless Sensor Area Network result in low power and low cost deployments and Cloud based field monitoring is becoming a dominant option. So a method has been developed for agricultural systems that act as phonological indicators of various seasonal developments in the field and number of climate effect upon the regional growth over the crop for a broad region using (IoT) Internet of Things. The developed platform has been evaluated for various field parameters, creating a WSAN with a base station to record various parameters and finally uploaded this parameter to the Internet server. The performance result of the developed system has shown the feasibility and confirms its future aspects in broad sense.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.