Olcay, K.Taparci, E.Akmandor, M.O.Kabakulak, B.Sarioglu, B.Gokdel, Y.D.2024-07-182024-07-182023978-953290128-3https://doi.org/10.23919/SpliTech58164.2023.10193646https://hdl.handle.net/11411/65168th International Conference on Smart and Sustainable Technologies, SpliTech 2023 -- 20 June 2023 through 23 June 2023 -- Hybrid, Split/Bol -- 191291Wireless 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.eninfo:eu-repo/semantics/closedAccessEnergy EfficiencyInternet Of ThingsMathematical ProgrammingNarrow-Band CommunicationOptimizationSensor NetworksBudget ControlData TransferElectric BatteriesGateways (Computer Networks)Internet Of ThingsLow Power ElectronicsMathematical ProgrammingWireless Sensor NetworksCloud DatabaseElectronics DevicesLow PowerLow-CostsLower EnergiesNarrow Band CommunicationsOptimisationsSensor/ActuatorSensors NetworkTemperature/ HumiditiesEnergy EfficiencyModeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT ApplicationsConference Object2-s2.0-8516810583210.23919/SpliTech58164.2023.10193646N/A