Router deployment of Streetside Parking Sensor Networks in Urban Areas

TL;DR

This paper presents a deployment strategy for urban wireless parking sensor networks, optimizing energy, delay, and deployment costs using real street maps to improve urban infrastructure services.

Contribution

Introduces a multi-objective deployment approach for street parking sensors using Pareto optimization on real urban maps.

Findings

Identified Pareto optimal deployment configurations minimizing energy and delay.

Demonstrated the effectiveness of the strategy on real street parking data.

Provided insights for urban sensor network deployment planning.

Abstract

The deployment of urban infrastructure is very important for urban sensor applications. In this paper, we studied and introduced the deployment strategy of wireless on-street parking sensor networks. We defined a multiple-objective problem with four objectives, and solved them with real street parking map. The results show two sets of Pareto Front with the minimum energy consumption, sensing information delay and the amount of deployed routers and gateways. The result can be considered to provide urban service roadside unit or be taken into account while designing a deployment algorithm.