GECOM: GREEN COMMUNICATION CONCEPTS FOR ENERGY EFFICIENCY IN WIRELESS MULTIMEDIA SENSOR NETWORK

Muhammad Ihsan Diputra, Ahmad Akbar Megantara, Pima Hani Safitri, Didik Purwanto

Abstract


Wireless multimedia sensor network (WMSN) is one of broad wide application for developing a smart city. Each node in the WMSN has some primary components: sensor, microcontroller, wireless radio, and battery. The components of WMSN are used for sensing, computing, communicating between nodes, and flexibility of placement. However, the WMSN technology has some weakness, i.e. enormous power consumption when sending a media with a large size such as image, audio, and video files. Research had been conducted to reduce power consumption, such as file compression or power consumption management, in the process of sending data. We propose Green Communication (GeCom), which combines power control management and file compression methods to reduce the energy consumption. The power control management method controls data transmission. If the current data has high similarity with the previous one, then the data will not be sent. The compression method compresses massive data such as images before sending the data. We used the low energy image compression algorithm algorithm to compress the data for its ability to maintain the quality of images while producing a significant compression ratio. This method successfully reduced energy usage by 2% to 17% for each data.   



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References


A. Sharif, V. Potdar and E. Chang, "Wireless multimedia sensor network technology: A survey," in Proc. IEEE International Conference on Industrial Informatics, 2009.

K. Antony and J. P. Davim, Lecture Notes on Multidisciplinary Industrial Engineering Advanced Manufacturing and Materials Science, Springer, 2018.

R. Kadchha, "Operational Monitoring System OMS with WSN (Wireless Sensor Network), RFID, GPS and CCTV in Agriculture," Oriental Journal of Computer Science and Technology, vol. 9, no. 1, pp. 41-45, 2016.

M. Pule, A. Yahya and J. Chuma, "Wireless sensor networks: A survey on monitoring water quality," Journal of applied research and technology, vol. 15, no. 6, pp. 562-570, 2017.

P. Cherntanomwong and D. J. Suroso, "Indoor localization system using wireless sensor networks for stationary and moving target," in Proc. International Conference on Information, Communications & Signal Processing, 2011.

S. Hashim Raza Bukhari, S. Siraj and M. Husain Rehmani, "Wireless sensor networks in smart cities: applications of channel bonding to meet data communication requirements," Transportation and Power Grid in Smart Cities: Communication Networks and Services, pp. 247-268, 2018.

D. Purwanto, Y.-T. Chen and W.-H. Fang, "First-Person Action Recognition With Temporal Pooling and Hilbert–Huang Transform," IEEE Transactions on Multimedia, vol. 21, no. 12, pp. 3122-3135, 2019.

D. Purwanto, R. Renanda Adhi Pramono, Y.-T. Chen and W.-H. Fang, "Extreme low resolution action recognition with spatial-temporal multi-head self-attention and knowledge distillation," in Proc. IEEE International Conference on Computer Vision Workshops, 2019.

J. P. Singh, M. K. Mishra and M. A. Khan, "Energy-efficient approach towards video-based sensor networks (wireless) beneath barrier coverage," in Proc. International Conference on Computing, Communication and Networking Technologies, 2017.

M. Collotta, G. Pau and D. G. Costa, "A fuzzy-based approach for energy-efficient Wi-Fi communications in dense wireless multimedia sensor networks," Computer Networks, vol. 134, pp. 127-139, 2018.

R. Banerjee, S. Chatterjee and S. D. Bit, "An energy saving audio compression scheme for wireless multimedia sensor networks using spatio-temporal partial discrete wavelet transform," Computers & Electrical Engineering, vol. 48, pp. 389-404, 2015.

E. Sun, X. Shen and H. Chen, "A low energy image compression and transmission in wireless multimedia sensor networks," Procedia Engineering, vol. 15, pp. 3604-3610, 2011.

Y. Zhou, W. Xiang and G. Wang, "Frame loss concealment for multiview video transmission over wireless multimedia sensor networks," IEEE Sensors Journal, vol. 15, no. 3, pp. 1892-1901, 2014.

R. Wan, N. Xiong and others, "An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks," Human-centric Computing and Information Sciences, vol. 8, no. 1, p. 18, 2018.

S. M. Aziz and D. M. Pham, "Energy efficient image transmission in wireless multimedia sensor networks," IEEE communications letters, vol. 17, no. 6, pp. 1084-1087, 2013.

M. Koyuncu, A. Yazici, Civelek, C. A. M. and M. Sert, "Visual and auditory data fusion for energy-efficient and improved object recognition in wireless multimedia sensor networks," IEEE Sensors Journal, vol. 19, no. 5, pp. 1839-1849, 2018.

G. A. Shah, W. Liang and O. B. Akan, "Cross-layer framework for QoS support in wireless multimedia sensor networks," IEEE Transactions on Multimedia, vol. 14, no. 5, pp. 1442-1455, 2012.

D. Purwanto, R. R. A. Pramono, Y. T. Chen and W. H. Fang, "Three-stream network with bidirectional self-attention for action recognition in extreme low resolution videos," IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1187-1191, 2019.

A. K. J. McMahon and K. Venkataraman, "Various image compression techniques: Lossy and lossless," International Journal of Computer Applications, vol. 142, no. 6, pp. 23-26, 2016.

S. C. Hidayati, C.-H. Hsu, S.-W. Sun, W.-H. Cheng and K.-L. Hua, "An efficient algorithm for periodic halftone identification," in Proc. IEEE International Conference on Multimedia & Expo Workshops, 2015.

K.-L. Hua, S. C. Hidayati, F.-L. He, C.-P. Wei and Y.-C. F. Wang, "Context-aware joint dictionary learning for color image demosaicking," Journal of Visual Communication and Image Representation, vol. 38, pp. 230-245, 216.

V. Barannik, O. Yudin, B. Y., R. Ziubina and N. Vyshnevska, "Video data compression methods in the decision support systems," in Proc. International Conference on Computer Science, Engineering and Education Applications, 2018.

P. Gandotra, R. K. Jha and S. Jain, "Green communication in next generation cellular networks: A survey.," IEEE Access, vol. 5, pp. 11727-11758, 2017.

G. Mali and S. Misra, "TRAST: Trust-based distributed topology management for wireless multimedia sensor networks," IEEE Transactions on Computers, vol. 65, no. 6, pp. 1978-1991, 2015.

A. D. Ribas, J. G. Colonna, C. M. Figueiredo and E. F. Nakamura, "Similarity clustering for data fusion in wireless sensor networks using k-means," in Proc. International Joint Conference on Neural Networks, 2012.




DOI: http://dx.doi.org/10.12962/j24068535.v18i2.a942

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