Wireless sensors’ location for smart transportation in the context of Industry 4.0

The evolution and growing use of Information and Communication Technologies (ICT) in the manufacturing industry has enabled to produce in a more intelligent and sustainable way. Technological innovations have opened a wide range of opportunities to use Internet of Things (IoT) in logistics sector. The increasing adoption of ICT in logistics activities induced a global organizational efficiency as well as a good level of competitivity for companies. As a keystone in logistics operations, transportation is intended to play a significant role in the future digital revolution. Indeed, the challenge is to build a safer, sufficiently flexible, and more efficient transport system. Such smart transportation system is based on a set of different wireless sensors. The located network of sensors would help in the route optimization, accident prevention, parking, road anomaly detection, etc. In this paper, we propose different linear formulations for the “Wireless Sensors Location Problems” in the context of Industry 4.0. The presented programs are validated by solving small and medium data set instances using CPLEX solver. Several extensions are presented and discussed. To model the uncertainty in some decisions, fuzzy linear programs are presented and solved to optimality using a parametric approach. We also describe a modeling traffic flow using a nonlinear transport equation. Then, we study the observability of traffic conditions on highway segments.