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Öğe Modeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications(Institute of Electrical and Electronics Engineers Inc., 2023) Olcay, K.; Taparci, E.; Akmandor, M.O.; Kabakulak, B.; Sarioglu, B.; Gokdel, Y.D.Wireless Sensor Networks (WSNs) consist of low cost and energy small electronic devices such as sensors, actuators, routers and gateways. A WSN can sense various type of data, such as temperature, humidity, pH.. etc, with the sensors scattered on an agricultural region and collect the data at a cloud database via multi-hop data transmission routes. The number of periods that a WSN operates is the network lifetime which strongly depends on the limited battery energy of the devices. Hence, in order to prolong the lifetime, we propose a centralized mathematical model which deploys minimum number of devices within limited budget, efficiently utilizes the device battery by planning their active/sleep schedules and determining the minimum energy consuming data flow paths towards the cloud. We also realized the proposed model on hardware level using low power embedded system architectures. © 2023 University of Split, FESB.