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Optimization of Energy Consumption in Image Transmission in Wireless Sensor Networks (WSNs) using a Hybrid Method | ||
Control and Optimization in Applied Mathematics | ||
مقاله 3، دوره 2، شماره 1، تیر 2017، صفحه 29-41 اصل مقاله (919.65 K) | ||
نوع مقاله: Technical Note | ||
نویسندگان | ||
Abbas Ali Rezaee* 1؛ Farnoosh Zareian2 | ||
1Assistant Professor, Department of Computer Engineering and Information Technology, Payame Noor University,Tehran, IRAN | ||
2Department of Computer Engineering and Information Technology, Payame Noor University, International Center of Assaluyeh, Assaluyeh, Iran | ||
چکیده | ||
In wireless sensor networks (WSNs), sensor nodes have limited resources with regard to computation, storage, communication bandwidth, and the most important of all, energy supply. In addition, in many applications of sensor networks, we need to send images to a sink node. Therefore, we have to use methods for sending images in which the number and volume of packets are optimized to save energy. Data compression is one of the optimization methods in energy consumption. In this paper, an effective compression algorithm is proposed to reduces computational and energy consumption and eventually, increases the overall network lifetime. Here in, we use a combination of three DCT, DWT and SWT wavelet transforms to achieve our goals. Simulation results show that the proposed algorithm achieves its goals with regard to data compression and reduction of energy consumption, and improves the network lifetime. | ||
کلیدواژهها | ||
Wireless sensor networks؛ Energy consumption؛ Image compression؛ Discrete wavelet transform؛ Discrete cosine transforms؛ Static wavelet transforms | ||
عنوان مقاله [English] | ||
بهینه سازی مصرف انرژی در انتقال تصویر در شبکه های حسگر بی سیم با استفاده از روش ترکیبی | ||
نویسندگان [English] | ||
عباسعلی رضایی1؛ فرنوش زارعیان2 | ||
1استادیار گروه مهندسی کامپیوتر و فناوری اطلاعات، دانشگاه پیامنور، تهران | ||
2دانشجوی کارشناسی ارشد، گروه مهندسی کامپیوتر و فناوری اطلاعات، عسلویه، دانشگاه پیامنور مرکز بین الملل عسلویه | ||
چکیده [English] | ||
منابع گره های حسگر به کار رفته در شبکه های حسگر بی سیم محدود بوده و به همین دلیل توان محاسباتی، حافظه، پهنای باند و مخصوصاً باتری آنها محدود است. از طرفی در بسیاری از کاربردهای شبکه حسگر ما نیاز به انتقال تصویر به گره چاهک داریم. بنابراین ما برای کاهش مصرف انرژی باید از روش هایی برای ارسال تصویر استفاده کنیم که در آنها تعداد و حجم بسته ها کم باشد. یکی از روشهای بهینه سازی مصرف انرژی فشرده سازی اطلاعات است. در این مقاله یک الگوریتم فشرده سازی کارا پیشنهاد شده است که حجم محاسباتی کمتری داشته و مصرف انرژی آن پایین است و همین باعث افزایش طول عمر شبکه می شود. در اینجا ما از ترکیب سه تبدیل DCT ، DWT و تبدیلات موجک SWT برای دست یابی به اهداف خود استفاده می کنیم. نتایج شبیه سازی نشان می دهد که الگوریتم پیشنهاد در فشرده سازی داده ها و کاهش مصرف انرژی و بهبود طول عمر شبکه به اهداف خود می رسد. | ||
کلیدواژهها [English] | ||
شبکه های حسگر بی سیم, مصرف انرژی, فشرده سازی تصویر, تبدیل موجک گسسته, تبدیلات کسینوسی گسسته, تبدیل موجک ایستا | ||
مراجع | ||
[1] Ahmed A. J., J. Abdullah, Salih A. A. M. (2016). ``Image compression enhancement for WSN application using AHAAR wavelet transform and classification'', 6th IEEE International Conference on Control System, Computing and Engineering, Batu Ferringhi, 268-272.
[2] Ciancio A., Ortega A., Krishnamachari B. (2006). ``Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm", 5th International Conference on Information Processing in Sensor Networks, 309-316.
[3] Chen Y., Huang sh., Pickwell-MacPherson E. (2010). ``Frequency-wavelet domain deconvolution for terahertz reflection imaging and spectroscopy optical society of America", Optics Express, 18(2), 1177-1190.
[4] Diallo, O., Sene, M., Lioret, J. (2014). ``Simulation framework for real-time database on WSNs", Journal of Network and Computer Applications, 191-201.
[5] Dingwen Y., Salil S. K., Matthias H. (2017) ."Instrumenting wireless sensor networks: A survey on the metrics that matter", In Pervasive and Mobile Computing, 37, 45-62.
[6] Ernawan F., Kabir N., Zamli K.Z. (2017) . ``An efficient image compression technique using Tchebichef bit allocation", In Optik International Journal for Light and Electron Optics, 148, 106-119.
[7] Ghaffari A. (2015). ``Congestion control mechanisms in wireless sensor networks: A survey", Journal of Network and Computer Applications, 52, 101-115.
[8] Ghorbel O., Wasimjmal M., Abid M. (2012). ``DCT & DWT Images compression algorithms in wireless sensors networks: comparative study and performance analysis", International Journal of Wireless & Mobile Networks, 4, 54-59.
[9] Gonçalves D., Costa D. (2015). ``A survey of image security in wireless sensor networks", Journal of Imaging, 1(1), 4-30.
[10] Hussain, S. A., Razzak, M. I., Minhas, A. A., Sher, M., Tahir, G.R. (2010). ``Energy efficient image compression in wireless sensor networks", ACEEE International Journal on Signal and Image Processing, 1(2), 38-42.
[11] Jafari R., Rashidi M. (2013). ``Increasing image compression rate using steganography", Expert Systems with Applications, 6918-6927.
[12] Kiran Bala E., Kaur V., and Pathania A. (2015). ``A review paper on advance digital image compression using fast wavelet transforms comparative analysis with DWT", International Journal of Engineering Sciences & Research Technology, 160-165.
[13] Krishnamachari B. (2005). ``Networking wireless sensors", Cambridge University Press.
[14] Minh pham D., Mahfuzul Aziz S. P. (2013). ``An energy efficient image compression scheme for wireless sensor networks, intelligent sensors, sensor networks and information processing", IEEE Eighth International Conference, 260-264.
[15] Nasri M., Helali A, Sghaier H., Maaref H. (2010). ``Energy-efficient wavelet image compression in wireless sensor network", Communication in Wireless Environments and Ubiquitous Systems: New Challenges, 1-7.
[16] Pesquef J.C., Krim H. (1996). ``Time-invariant orthonormal wavelet representations", IEEE Transaction on Signal Processing, 44, 1964-1970.
[17] Singh R., Verma A.K. (2017). ``Efficient image transfer over WSN using cross layer architecture", In Optik International Journal for Light and Electron Optics, 130, 499-504.
[18] Rezaee A. A., Pasandideh F. ``A fuzzy congestion control protocol based on active queue management in wireless sensor networks with medical applications", Wireless Personal Communications, (2017). https://doi.org/10.1007/s11277-017-4896-6.
[19] Shankar M. H., Bhatnaga S., Shukla A., Tiwari A. (2014). ``Medical image fusion based on wavelet transform", International Journal of Scientific & Engineering Research, 5(2), 772-778.
[20] Nasri M., Helali A., Sghaier H., Maaref H. (2011). ``Priority image transmission in wireless sensor networks'', Eighth International Multi-Conference on Systems, Signals & Devices, Sousse, 1-6.
[21] Jamali M., Zokaei S., Rabiee H. R. (2010). ``A new approach for distributed image coding in wireless sensor networks'', The IEEE symposium on Computers and Communications, Riccione, Italy, 563-566.
[22] Boluk S., Baydere P., Emre Harmanci, A. (2011). ``Robust image transmission over wireless sensor networks", Mobile Networks and Applications, 16(2), 149-170.
[23] Santha d. P., Arthanariee M. (2013). ``Efficient wireless image transmission with wavelet based polyomine compression international", Journal of Scientific and Research Publications, 3(2), 1-9.
[24] SheikDawood M., Sadasivam S., Athisha G. (2012). ``Image compression in wireless sensor networks- A survey", International Journal of Applied Information Systems (IJAIS), 11-15.
[25] Srisooksai T., Keamarungsi K., Arakid K. (2012). ``Practical data compression in wireless sensor networks: A survey", Journal of Network and Computer Applications, 35(1) 37-59.
[26] Temel D., Prabhushankar M., AlRegib G. (2016). ``UNIQUE: Unsupervised image quality estimation", IEEE Signal Processing Letters, 23(10), 1414-1418.
[27] Viswanath K., Mukherjee J., Biswas P. K. (2011). ``Image filtering in the block DCT domain using symmetric convolution", Journal of Visual Communication and Image Representation, 22(2), 141-152.
[28] Wang H., Yang S., Liao W. (2007). ``An improved PCA face recognition algorithm based on the discrete wavelet transform and the support vector machines", International Conference on Computational Intelligence and Security Workshops, 308-311.
[29] Wang X., Zhang Y., Lu C., Pless R., Gill C. (2003). ``Integrated coverage and connectivity configuration in wireless sensor networks", Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, 28-39.
[30] Watson A. B., (1994). ``Image compression using the discrete cosine transform", Mathematica Journal, 4(1), 81-88.
[31] Wu H., Abouzeid, A. (2005). ``Energy efficient distributed image compression in resource-constrained multi hop wireless networks", Computer Communication 28(14), 1658-1668.
[32] Zhang X., Xu C., Zhang Y., Jin C. (2017). `` Efficient integrity verification scheme for medical data records in cloud-assisted wireless medical sensor networks ", Wireless Personal Communications, 96(2): 1819-1833.
[33] Zur A. (1910). ``Theorie der orthogonalen funktionen system mathematische annalen", Mathematische Annalen, 69(3), 331–371. | ||
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