A Practical Study of Jointly Exploiting Multiple Image Compression Techniques for Wireless Multimedia Sensor Networks

In Wireless Multimedia Sensor Networks, the amount of multimedia traffic generated by the source nodes and relayed throughout the network towards the sink nodes is relatively vary large. As a result, the overall network performance and operational lifetime rely heavily on the efficiency and the complexity of the compression techniques used. However, known compression techniques have either high efficiency or low complexity but not both, which causes an imbalance in the distribution of the available network resources and hence shortens the network lifetime. In this work, a testbed to experimentally evaluate the performance and energy consumption of image compression and transmission was developed. Based on the testbed, the JPEG and JPEG2000 image compression algorithms were simultaneously embedded and evaluated with the purpose of jointly utilizing the features of both algorithms in order to facilitate a balanced tradeoff between the application performance requirements and the current network status. The analysis of the results verified that, in practical implementations of Wireless Multimedia Sensor Networks, using more than one compression technique by the same source node is feasible and has the potential of utilizing the capabilities of each technique based on the given situation.

[1]  Simone Orcioni,et al.  Performance analysis of JPEG 2000 over 802.15.4 wireless image sensor network , 2010, 2010 8th Workshop on Intelligent Solutions in Embedded Systems.

[2]  Robert Szewczyk,et al.  System architecture directions for networked sensors , 2000, ASPLOS IX.

[3]  Jean-Marie Moureaux,et al.  Fast zonal DCT-based image compression for Wireless Camera Sensor Networks , 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

[4]  Majid Rabbani,et al.  An overview of the JPEG 2000 still image compression standard , 2002, Signal Process. Image Commun..

[5]  R. Kling,et al.  IMOTE2: Serious Computation at the Edge , 2008, 2008 International Wireless Communications and Mobile Computing Conference.

[6]  Özgür B. Akan,et al.  Multimedia communication in wireless sensor networks , 2005, Ann. des Télécommunications.

[7]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[8]  Mislav Grgic,et al.  Comparison of JPEG Image Coders , 2001 .

[9]  Faouzi Kossentini,et al.  Performance Analysis of the JPEG 2000 Image Coding Standard , 2005, Multimedia Tools and Applications.

[10]  Touradj Ebrahimi,et al.  The JPEG2000 still image coding system: an overview , 2000, IEEE Trans. Consumer Electron..

[11]  Alhussein A. Abouzeid,et al.  Power aware image transmission in energy constrained wireless networks , 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

[12]  Nadia Al-Rousan,et al.  The Potential of Using Network Coding with Geographical Forwarding Routing for Wireless Multimedia Sensor Networks , 2011, 2011 IEEE 11th International Conference on Computer and Information Technology.

[13]  Alhussein A. Abouzeid,et al.  Energy efficient distributed image compression in resource-constrained multihop wireless networks , 2005, Comput. Commun..

[14]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

[15]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[16]  Fahed Awad,et al.  Experimental evaluation of image compression and transmission for TinyOS-based imote2 platform , 2011, 2011 International Conference on Innovations in Information Technology.

[17]  Deborah Estrin,et al.  Energy-Efficient Image Compression for Resource-Constrained Platforms , 2009, IEEE Transactions on Image Processing.

[18]  Luigi Ferrigno,et al.  Balancing computational and transmission power consumption in wireless image sensor networks , 2005, IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2005..

[19]  Wang,et al.  Distributed Image Compression Algorithm in Wireless Multimedia Sensor Networks , 2009 .

[20]  Zafer Sahinoglu,et al.  Image Transmission over IEEE 802 . 15 . 4 and ZigBee Networks , 2005 .

[21]  Ian F. Akyildiz,et al.  Wireless Multimedia Sensor Networks: Applications and Testbeds , 2008, Proceedings of the IEEE.