Mobile Multi-Media Wireless Sensor Networks (M3WSN)

Wireless sensor network technology is becoming more and more mature and sensors are being used in many applications in the area of security (e.g., for monitoring buildings and private areas), environmental monitoring (e.g., river monitoring in the Alps) and e-health (e.g., heart rate monitoring of patients). Sensor networks include both discrete sensor data (e.g., temperature, passive infrared levels, and sound levels) and continuous multi-media flows (e.g., continuous audio and video flows).

Moreover, in future wireless sensor network scenarios, the issue of mobility becomes more important. First, objects to be monitored (cars, persons, animals) are naturally mobile. Second, these objects might carry sensors (in particular they might be integrated into mobile personal devices such as smartphones) such that sensors might become mobile. Third, the objects or special mobile devices such as robots or unmanned aerial vehicles might carry base stations that are responsible for receiving multi-media sensor information from the sensor nodes in order to provide them to processing elements, e.g., in a cloud computing environment, for further processing.

Since there is often a huge amount of sensor data to be processed, cloud computing infrastructures are a promising candidate to achieve scalable storage and processing of sensor information. Only by sufficient (cloud) computing resources, it might be possible to achieve hard real-time requirements. The wired part of the Internet will be the network interconnecting both cloud computing infrastructure and wireless sensor networks. Sensor network research should be supported by realistic experiments performed in wireless sensor network testbeds. This should support repetition of experiments in order to achieve statistical significance and to allow researchers to verify results. However, the mobility of objects, sensors, and base stations is difficult to set up and repeat in a testbed. Therefore, we propose to use real testbeds for experiments but emulate the mobility of personal devices, sensors, and base stations.

This project proposes to build an experimental research platform including both communication in wireless sensor networks and processing sensor data in cloud computing environments. The research platform will be based on existing solutions developed and used in previous projects. Mainly adaptation and integration work is needed to achieve the result of an integrated research platform covering both wireless sensor networks and cloud computing infrastructures.

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Number of items: 4.


Zhao, Zhongliang; Lima do Rosario, Denis; Braun, Torsten; Cerqueira, Eduardo (September 2015). A Tutorial of the Mobile Multimedia Wireless Sensor Network (M3WSN) OMNeT++ Framework. In: OMNeT++ summit'15. Zurich, Switzerland. 03.09.-04.09.2015.


Rosário, Denis; Zhao, Zhongliang; Silva, Claudio; Cerqueira, Eduardo; Braun, Torsten (5 March 2013). An OMNeT++ Framework to Evaluate Video Transmission in Mobile Wireless Multimedia Sensor Networks. In: Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques. SimuTools '13 (pp. 277-284). ICST, Brussels, Belgium, Belgium: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)


Zhao, Zhongliang; Braun, Torsten; do Rosario, Denis; Cerqueira, Eduardo; Immich, Roger; Pascoal Curado, Marilia (October 2012). QoE-aware FEC Mechanism for Intrusion Detection in Multi-tier Wireless Multimedia Sensor Networks. In: Wireless and Mobile Computing, Networking and Communications (WiMob), 2012 IEEE 8th International Conference on (pp. 689-696). Washington, DC: IEEE Computer Society 10.1109/WiMOB.2012.6379150

Zhao, Zhongliang; Mosler, Björn; Braun, Torsten (2012). Performance evaluation of opportunistic routing protocols: a framework-based approach using OMNeT++. In: 7th Latin America Networking Conference, Medellín, Colombia (pp. 28-35). New York: Association for Computing Machinery ACM 10.1145/2382016.2382022

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