Energy consumption in periodical GSM/GPRS transmissions of small data chunks: An experimental study

Tranca, Dumitru Cristian; Marković, Vera

doi:10.1109/telsks.2015.7357777

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous literature has presented works using traditional communication networks, such as General Packet Radio Service (GPRS) cellular networks [ 27 , 28 ]. These networks are distinguished by their large deployment, which virtually guarantees their availability but presents a clear problem with battery consumption [ 29 ]. Also remarkable is the way that current Wireless Personal Area Networks (WPAN) try to adapt themselves to the requirements previously indicated, such as Bluetooth 5, which duplicates the range and reduces the consumption [ 30 ].…”

Section: State Of the Artmentioning

confidence: 99%

Smart Waste Collection System with Low Consumption LoRaWAN Nodes and Route Optimization

Lozano

Caridad

Paz

et al. 2018

Sensors

View full text Add to dashboard Cite

New solutions for managing waste have emerged due to the rise of Smart Cities and the Internet of Things. These solutions can also be applied in rural environments, but they require the deployment of a low cost and low consumption sensor network which can be used by different applications. Wireless technologies such as LoRa and low consumption microcontrollers, such as the SAM L21 family make the implementation and deployment of this kind of sensor network possible. This paper introduces a waste monitoring and management platform used in rural environments. A prototype of a low consumption wireless node is developed to obtain measurements of the weight, filling volume and temperature of a waste container. This monitoring allows the progressive filling data of every town container to be gathered and analysed as well as creating alerts in case of incidence. The platform features a module for optimising waste collection routes. This module dynamically generates routes from data obtained through the deployed nodes to save energy, time and consequently, costs. It also features a mobile application for the collection fleet which guides every driver through the best route—previously calculated for each journey. This paper presents a case study performed in the region of Salamanca to evaluate the efficiency and the viability of the system’s implementation. Data used for this case study come from open data sources, the report of the Castilla y León waste management plan and data from public tender procedures in the region of Salamanca. The results of the case study show a developed node with a great lifetime of operation, a large coverage with small deployment of antennas in the region, and a route optimization system which uses weight and volume measured by the node, and provides savings in cost, time and workforce compared to a static collection route approach.

show abstract