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A Fuzzy Logic Adaptive Image Compression Level using Cross-Layering in Wireless Multimedia Sensor Networks

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2021
Mohammed Ameen A. Abdo, Ala Eldin Abdallah Awouda, Yousif Elfatih Yousif

Mohammed Ameen A Abdo, Ala Eldin Abdallah Awouda and Yousif Elfatih Yousif. A Fuzzy Logic Adaptive Image Compression Level using Cross-Layering in Wireless Multimedia Sensor Networks. International Journal of Computer Applications 174(28):18-24, April 2021. BibTeX

	author = {Mohammed Ameen A. Abdo and Ala Eldin Abdallah Awouda and Yousif Elfatih Yousif},
	title = {A Fuzzy Logic Adaptive Image Compression Level using Cross-Layering in Wireless Multimedia Sensor Networks},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2021},
	volume = {174},
	number = {28},
	month = {Apr},
	year = {2021},
	issn = {0975-8887},
	pages = {18-24},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2021921200},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The growing interest in Wireless Sensor Networks (WSNs) with the rapid growth in micro-electronics technology has made it possible to deliver multimedia content over Wireless Multimedia Sensor Networks (WMSNs). There are several main peculiarities that make the delivery of multimedia content over WMSN challenging. Most of these are due to the processing, timing, and other quality of service requirements. Furthermore, WMSNs are susceptible to rapid degradation since they deal with large amount of data that require processing and transmission power. In this paper, a cross-layer design approach is proposed to overcome such challenges. In the proposed model, the concept of cross-layering and fuzzy logic has been exploited to monitor the network conditions and control the amount of the multimedia data in order to utilize the available resources efficiently and improve the applications Quality of Service (QoS). The simulation results have shown better resource utilization, stability, and fairness in quality metrics consideration. The proposed model has shown to be efficient compared to the conventional scheme in terms of bandwidth utilization, power consumption, delay, loss, and images quality.


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Image compression, WMSN, Cross-layer, Fuzzy