Novel Approach Sizing and Routing of Wireless Sensor Networks for Applications in Smart Cities.

Area of Science:

• Computer Science
• Electrical Engineering
• Urban Planning

Background:

• Smart cities rely on Internet of Things (IoT) applications for improved public and private services.
• Efficient deployment of wireless sensor networks (WSN) is crucial for smart city infrastructure.
• Existing solutions often lack cost-effectiveness and optimized resource utilization.

Purpose of the Study:

• To propose a novel vision for rapid WSN deployment in smart cities.
• To develop optimization models for sizing and routing in WSNs.
• To reduce deployment costs and energy consumption through heterogeneous wireless networks.

Main Methods:

• Development of a WSN sizing model considering concentrator capacity and coverage.
• Presentation of three distinct routing models for WSNs to ensure smart metering connectivity.
• Formulation of optimization models integrating physical and network layers for cost reduction.

Main Results:

• The proposed models facilitate efficient WSN deployment with reduced data aggregation points.
• Heterogeneous wireless networks demonstrate lower resource costs and energy consumption compared to single-technology approaches.
• Evaluated constraints are adaptable to various real-world smart city scenarios.

Conclusions:

• The study offers a comprehensive optimization model for WSN deployment in smart cities.
• The proposed approach addresses the combinatorial complexity of network design using heuristic techniques.
• Implementation of these models can lead to more resilient, efficient, and cost-effective smart city services.