Smart Cities

Chapter 5Mobile Crowd-Sensing for Smart Cities

Chandreyee Chowdhury and Sarbani Roy

Department of Computer Science and Engineering, Jadavpur University, India

Chapter Menu

Introduction

Overview of Mobile Crowd-Sensing

Issues and Challenges of Crowd-sensing in Smart Cities

Crowd-sensing Frameworks for Smart City

Conclusion

Objectives

• • To become familiar with the concept of mobile crowd-sensing in smart cities.
• • To familiarize with the vast set of smart applications on mobile crowd-sensing.
• • To be aware of the issues of mobile crowd-sensing.
• • To become familiar with the existing frameworks for mobile crowd-sensing.

5.1 Introduction

As more people are moving toward urban areas, cities need to be made smarter to optimally address problems like resource limitation, maintenance of healthy neighborhood, and so on. Many of the problems are dynamic in nature, for example, predicting traffic pattern on a day [1], finding empty space in a parking lot, reporting from disaster situations, or detecting the presence of dangerous pollutants [2]. To measure these in a centralized manner, expensive infrastructure is needed to be maintained. Nowadays, smart mobile phones are quite efficient in sensing tasks as well as computing and can also be extended easily to the Internet of Things (IoT), for instance, smartphones, music players, sensor-embedded gaming systems, and in-vehicle sensing devices (GPS, OBD-II) [3]. These devices have many built-in sensors like accelerometer, gyroscope, ...