A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

Abstract

Abstract:When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system's general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node.

ICT Validation in Logistics Processes: Improvement of Distribution Processes in a Goods Sector Company

“…Companies dedicated to the manufacture and distribution of mass consumption food products typically serve distribution channels (stores and supermarkets) that must satisfy customer requirements (quantities, references, quality, and agreed delivery time) [38,39]. To achieve efficient distribution, these types of companies usually resort to primary distribution, which implies the distribution of products from the production facilities or central warehouses to the regional distribution centers (DCs), and a secondary distribution involving deliveries from regional DCs to customers (supermarkets and stores), relating directly to city logistics models [40,41].…”

Collaborative Working Architecture for IoT-Based Applications

“…In this way, new concepts have been created which apply IoT to benefit different areas of society and industry. For instance: ambient assisted living [ 1 ], smart cities [ 2 ] or smart logistics [ 3 ]. In these scenarios, new data management issues arise for integrating environmental sensor data efficiently and handling data from different sources [ 4 ].…”