Vinnmer Project: Effective and Secure Collaborative Sensing with Mobile Phones and Sensors

Project Leader:
Edith Ngai, Department of Information Technology, Uppsala University, Sweden

Prof. Mani Srivastava, Networked & Embedded Systems Laboratory (NESL), CENS, UCLA

Prof. Per Gunningberg, VINN Excellent Center WISENET, Uppsala University, Sweden


Project Description

Wireless sensor networks (WSNs), constructed by a group of sensors, have been suggested for numerous novel applications, such as environmental monitoring and protection, transportation, industrial production, health care, home safety, military defense, etc. Although sensors can provide a wide range of sensing and monitoring services, they have limited battery, communication range, computation power and they are usually static. In the meantime, the widespread and ubiquitous nature of mobile phones makes them ideal supplement to the traditional wireless sensor networks. Mobile phones are carried around by human beings and are regularly charged. The users may collect data at different locations where static sensors are not deployed. Also, mobile phones can perform sensing and exchange data interactively upon requests. Many mobile phones nowadays are equipped with sensing capability, like camera, microphone, motion sensor, GPS, etc. The screens and keypads on mobile phones also offer pleasant interfaces for interacting with users.

In this project, we will investigate efficient and secure collaborative sensing with mobile phones and sensors. We aim at proposing a novel framework for reliable and energy-efficient communications and secure information exchange in a heterogeneous network formed by both mobile phones and sensors. We will study the cooperation between mobile phones and static sensors considering their different characteristics and capabilities. We will design new communication protocol that supports innovative and real applications in this heterogeneous environment. In addition, we will evaluate the communication pattern and social behavior of users and investigate techniques to protect the security and privacy of the system.



1. Y. Man and E. C.-H. Ngai, Energy-Efficient Automatic Location-Triggered Applications on Smartphones, Computer Communication, vol. 50, Sep 2014, pp. 29-40.

2. E. C.-H. Ngai and P. Gunningberg, Quality-of-Information Aware Data Collection for Mobile Sensor Networks, Pervasive and Mobile Computing, vol. 11, Apr 2014, pp. 203-215.

3. Y. Man, E. C.-H. Ngai, and Y. Liu, A Glimpse of Energy-Efficient  Location-Triggered Mobile Application Design and Implementation  in Data Collection Scenarios , IEEE MSN 2012, Chengdu, China, 14-16 Dec 2012.

4. X. Tong and E. C.-H. Ngai, A Ubiquitous Publish/Subscribe Platform for Wireless Sensor Networks with Mobile Mules, IEEE DCOSS, Hangzhou, China, 16-18 May 2012.

5. E. C.-H. Ngai, M. B. Srivastava and J. Liu, Context-Aware Sensor Data Dissemination for Mobile Users in Remote Areas, IEEE Infocom, mini-conference, Orlando, FL, USA, 25-30 March 2012.  

6. Y. Kim, E. C.-H. Ngai, and M. B. Srivastava, Cooperative State Estimation for Preserving Privacy of User Behaviors in Smart Grid, IEEE SmartGridComm, Brussels, Belgium, 17-20 October 2011.

7. E. C.-H. Ngai and J. Xiong, Adaptive Collaborative Sensing Using Mobile Phones and Stationary Sensors, International workshop on Adaptive and Dependable Mobile Ubiquitous Systems, in conjunction with DSN, Hong Kong, China, 27-30 June 2011.

8. E. C.-H. Ngai, H. Huang, J. Liu and M. Srivastava, OppSense: Information Sharing for Mobile Phones in Sensing Field with Data Repositories, IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON’11), Salt Lake City, Utah, USA, 27-30 June, 2011, pp. 1-9.