TY - JOUR
T1 - A dual scheme for compression and restoration of sequentially transmitted images over Wireless Sensor Networks
AU - Nikolakopoulos, G.
AU - Stavrou, P.
AU - Tsitsipis, D.
AU - Kandris, D.
AU - Tzes, A.
AU - Theocharis, T.
N1 - Funding Information:
Anthony Tzes is Professor and Head (2009–2011) of the Electrical & Computer Engineering Department of the University of Patras (UPAT) in Greece. He is a graduate of UPAT (85) and has received his doctorate from the Ohio State University (90). From 1990 till 1999 he was with NYU Polytechnic. His research interests include Networked Controlled Systems, MEMs, Robotics, Mechatronics, Adaptive Control, Neural Networks and Fuzzy Logic Applications for Intelligent Transportation Systems, Adaptive Fuzzy Control, Instrumentation Embedded Systems, System Identification and Signal Processing. Prof. Tzes has been a committee member of the Advanced Traffic Management Systems of the ITSAmerica organization, and has received research funding from various organizations including NAzA, the National (US) Science Foundation, the European Union (FP6), and the European Space Agency (ESA). He has been the Chairman of IEEE’s Control Systems Society Greek Chapter, a member of the national (Greek) committee of the European Control Association (EUCA), member at several committees of the International Federation of Automatic Control (IFAC), and until recently the national representative to EU’s FP7’s thematic area “Regions of Knowledge, Research Potential and Coherent Development of Policies”. He has served in various positions (Program Chairman (MIM ’00), Organizing Committee Chairman (ECC’07)), and as IPC-member at several international conferences. He has over ten years of experience as the director of the Instrumentation and Control Laboratory at NYU Polytechnic focusing on smart sensors and self-tuning systems. Concurrently, he served as the principal investigator of the Urban Intelligent Transportation Systems Center in New York, NY. While in Greece, he is the leader and principal investigator of the “Applied Networked micro MechatronicsSystems group”. He has authored more than 50 (125) papers published in international technical journals conferences) and has served in the editorial board of several journals (e.g. IEEE Control Systems Magazine, Circuits Systems and Computers). His current research is funded by several national (Greek) and EU-projects.
PY - 2013/1
Y1 - 2013/1
N2 - A dual scheme for the compression and restoration of sequentially transmitted images over Wireless Sensor Networks (WSNs) is presented. These networks are characterized by low transmission rates, extended packet losses and limited power resources, factors that degrade the overall system performance. Especially in the cases of transmitting multimedia content, a considerable number of data packets are dropped, with a corresponding direct effect on the received image quality. For dealing with this loss of valuable information, various retransmission schemes have been proposed that act as quality of service modules. However, this approach increases energy consumption and inserts considerable time delays, due to the rise of the traffic load in the network. This article proposes a novel dual transmission scheme, targeting mainly the area of Multimedia WSNs (WMSN), that aims to decrease the overall traffic load introduced by the retransmission schemes, by performing image restoration for lost data packets, at the receiver side. The proposed novel dual scheme is based on: (a) the quad tree decomposition algorithm that is adopted for compressing the image data before transmission over the WSN, and (b) the fast image inpainting algorithm for restoring the effect of the missing data packets. The overall proposed scheme has been applied in multiple experimental studies that prove its efficacy.
AB - A dual scheme for the compression and restoration of sequentially transmitted images over Wireless Sensor Networks (WSNs) is presented. These networks are characterized by low transmission rates, extended packet losses and limited power resources, factors that degrade the overall system performance. Especially in the cases of transmitting multimedia content, a considerable number of data packets are dropped, with a corresponding direct effect on the received image quality. For dealing with this loss of valuable information, various retransmission schemes have been proposed that act as quality of service modules. However, this approach increases energy consumption and inserts considerable time delays, due to the rise of the traffic load in the network. This article proposes a novel dual transmission scheme, targeting mainly the area of Multimedia WSNs (WMSN), that aims to decrease the overall traffic load introduced by the retransmission schemes, by performing image restoration for lost data packets, at the receiver side. The proposed novel dual scheme is based on: (a) the quad tree decomposition algorithm that is adopted for compressing the image data before transmission over the WSN, and (b) the fast image inpainting algorithm for restoring the effect of the missing data packets. The overall proposed scheme has been applied in multiple experimental studies that prove its efficacy.
KW - Image inpainting
KW - Multimedia Wireless Sensor Networks
KW - Quad tree decomposition
KW - Wireless Sensor Networks
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U2 - 10.1016/j.adhoc.2012.07.003
DO - 10.1016/j.adhoc.2012.07.003
M3 - Article
AN - SCOPUS:84870052828
SN - 1570-8705
VL - 11
SP - 410
EP - 426
JO - Ad Hoc Networks
JF - Ad Hoc Networks
IS - 1
ER -