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Quality aware image transmission over underwater multimedia sensor networks

Sarisaray-Boluk, P. | Gungor, V.C. | Baydere, S. | Harmanci, A.E.

Article | 2011 | Ad Hoc Networks9 ( 7 ) , pp.1287 - 1301

With the recent advances in Micro Electro-Mechanical Systems (MEMS) and underwater imaging sensors, and cameras, underwater multimedia sensor networks (UMSNs) have been proposed and drawn the immediate attention of the research community. Underwater multimedia sensor networks enable several new applications, such as target tracking, advanced coastal multimedia surveillance, undersea explorations, image acquisition and classification, environmental monitoring, and disaster prevention. However, the practical realization of these currently designed and envisioned applications directly depends on reliable and quality-aware communication . . . capabilities of the deployed UMSNs. This paper presents a comprehensive performance evaluation of error concealment and error correction algorithms for quality-aware image transmission over UMSNs. Specifically, different combinations of multipath transport,watermarking-based error concealment (EC), forward error correction (FEC) and adaptive retransmission mechanisms have been evaluated to combat underwater channel impairments and mitigate packet losses due to node failures and intrinsic underwater acoustic channel characteristics. In addition, two novel image quality assessment metrics have been proposed to obtain the predicted quality of the image depending on the channel and node failures. Comparative performance evaluations show that the EC approach reconstructs the distorted image as closely as the original one while avoiding the burden of retransmissions and consequent delay. © 2011 Elsevier B.V. All rights reserved Daha fazlası Daha az

Data freshness model for P/S based sensor monitoring system

Serdaroglu, K.C. | Baydere, S.

Conference Object | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Publish-Subscribe(P/S) based sensor monitoring systems provide different quality-of-service according to clientserver policies. Using adaptive timing and data freshness models may increase the flexibility of services in these systems. In this paper, we propose two timing models for sensor network based emergency detection P/S Systems in which the timing constraints and data freshness can be dynamically adjusted for user needs. The performance of these models is tested in a real testbed setup. The experimental results reveal that the proposed models can meet the timing and data freshness demands of the clients for applications which . . .acquire physical data from scalar sensors with 2-10s sampling rates. © 2018 IEEE Daha fazlası Daha az

Towards inherent error-Resilient voice encoding schemes in audio sensor networks

Turkes, O. | Baydere, S.

Conference Object | 2012 | Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM , pp.35 - 42

Recently, multimedia utilization inWireless Sensor Networks (WSN) has shown that robust encoding methods are imperative for any application requiring a certain level of quality. During ubiquitous data exploitation in these lossy networks, a data-conserving method coherent with coding and transmission scheme is essential. This study centers upon several basic reconstruction methods for unapprehended parts in the voice data gathered at the end-point of a real multi-hop Audio Sensor Network (ASN). Considering gathered voice signals, error concealment (EC) methods are inherently applied over lost packets in the testbed. Around 6,000 rea . . .l single-path transmission tests are verified with an instrumental simulation. Besides, EC schemes are supported with a multi-path transmission in which data aggregation occurs at certain intervals. Nearly 300,000 qualitative results show that perceptual quality can be preserved promisingly with the utilization of low cost affordable correction techniques. Copyright © 2012 ACM Daha fazlası Daha az

A Bayesian approach for indoor human activity monitoring

Uslu, G. | Altun, O. | Baydere, S.

Conference Object | 2011 | Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 , pp.324 - 327

Activity monitoring plays a crucial role in ambient living environments for assessing changes in the normal behavioral pattern of elderly people. In this paper, we present a composite action description and detection model for activity monitoring. The model accomplishes real time continuous monitoring of composite actions by detecting the transitions from one simple action to another and determining the types of those actions. It utilizes a wearable TI Chronos watch with a built-in tri-axial accelerometer for data acquisition and uses naive Bayes classifier for the classification of simple actions; walk, sit stand and lie. The uniqu . . .e feature of these actions is that the transition between walk, sit and lie are the most likely causes of fall event in a home environment for elderly people. The early results of an experimental study conducted for the detection of the composite actions; walk-after-sit and sit-after-lie are very encouraging in terms of detection success rates. © 2011 IEEE Daha fazlası Daha az

Performance comparison of error compensation techniques with multipath transmission in wireless multimedia sensor networks

Sarisaray, P. | Gur, K. | Baydere, S. | Harmanci, E.

Conference Object | 2007 | IEEE International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems - Proceedings , pp.73 - 79

Due to the proliferation of the multimedia applications over unreliable medium like wireless networks, robust image and video communication have become more important. In this paper, we consider the transmission distortions on the multimedia data due to both channel impairments and instant node failures for Wireless Multimedia Sensor Networks (WMSN). Two techniques are investigated to compensate the multimedia distortions at the expense of incurring additional delays and/or wasting bandwidth resources. First technique is an error concealment technique utilizing discrete wavelet transform for embedding downsized replicas of original . . .image into itself, thereby mitigating degradations in a backward-compatible scheme. The other is Reed-Solomon coding utilizing additional information bits to correct bit/symbol errors. Two techniques are also integrated with multipath transmission to provide fault tolerance. Performance results show that error concealment with multipath transmission technique (ECMF) is more promising to compensate for losses due to unreliable channels and instant node failures than Reed-Solomon coding with multipath transmission technique (RSMF) in WMSN Daha fazlası Daha az

Publish-subscribe based monitoring model for wireless sensor networks

Serdaroglu, K.C. | Kadioglu, T. | Baydere, S.

Book Part | 2018 | Studies in Computational Intelligence715 , pp.45 - 58

The era of computing based on physical data is coming. IoT gateways are gaining more importance as Internet will be the main infrastructure to gather real world data to augment the pervasiveness in remote monitoring of the physical world. Considering the explosion in the number of connected “things”, interconnection models impose more functionality in gateways which traditionally were considered as simple protocol converters. Under this perception, IoT gateways should also operate as platforms for applications that process data, manage data traffic and become an intelligent part of a device-enabled system. In this paper, we give a b . . .rief survey of state-of-the interconnection solutions and propose a publish subscribe based service for periodic data acquisition from Wireless Sensor Networks (WSN). The service is designed as an interconnection model over the web server based IoT gateway architecture; Wisegate. The architecture and its services are implemented with a 6LoWPAN border router (6LBR) at the backend and a lightweight stack on sensor nodes (6LN) in order to show its end-to-end operability. The experimental results reveal that the proposed approach has encouraging latency and response time characteristics in the given setup. © 2018, Springer International Publishing AG Daha fazlası Daha az

RAM: Real Time Activity Monitoring with feature extractive training

Uslu, G. | Baydere, S.

Article | 2015 | Expert Systems with Applications42 ( 21 ) , pp.8052 - 8063

Abstract Activity monitoring systems (AMS) detect actions performed by humans. For an AMS to be effectively deployed in daily life, it should partition sensor data streams in real time and determine what activity corresponds to each partition. In this work, a real time continuous activity monitoring system, named RAM, is proposed. RAM detects simple and composite activities, collecting the data with a single 3D accelerometer to produce a non-invasive solution. Classification module of RAM carries out non-predefined feature extraction and activity detection in a coalesced manner thanks to feature extractive training, whereas the stat . . .e-of-art classifiers need to be fed with the output of a predefined feature extraction scheme. As being a Support Vector Machines (SVM) inspired solution, RAM fulfils multiclass classification with one-against-pseudo class strategy, without generating hyperplanes. The strength of the proposed model lies in that RAM achieves robustness in terms of inter-activity detection consistency and time efficiency with little overhead. Robustness property offers a potential to reduce the need for re-training an expert system, which faces the problem of growing set of activity classes in the real time activity recognition domain. We compared RAM for a set of hand oriented activities, against 8 different configurations, where SVM and K-Nearest Neighbour (KNN) classifiers are fed with different predefined features. We observed that RAM outperforms these configurations in overall accuracy as well as inter-activity detection consistency. We also presented the results of real tests as a proof-of-concept for transition detection in composite activities. © 2015 Elsevier Ltd Daha fazlası Daha az

IQAR: Image quality aware routing for Wireless Multimedia Sensor Networks

Sarisaray Boluk, P. | Irgan, K. | Baydere, S. | Harmanci, E.

Conference Object | 2011 | IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference , pp.394 - 399

Wireless Multimedia Sensor Networks (WMSN) have an increasing variety of multimedia based applications including image and video transmission. In these types of applications, multimedia sensor nodes should ideally maximize perceptual quality and minimize energy expenditures in communication. To obtain the required perceptual quality, quality of service (QoS) support is needed at the network level. However, mapping the network parameters to the end-user's perceptual quality measures during building paths is a challenging task due to incomplete identification metrics. In this paper, we propose Image Quality Aware Routing (IQAR) for WM . . .SN that introduces the concept of image quality awareness by considering energy issue. The proposed approach employs intra-image prioritization and an adaptive path selection scheme that adjusts reliability level during image transmission using a distortion prediction model. © 2011 IEEE Daha fazlası Daha az

Seamless interconnection of WSN and internet

Serdaroglu, K.C. | Baydere, S.

Conference Object | 2012 | 2012 20th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2012 , pp.394 - 399

The future internetworking is envisioned to develop concepts that can autonomously interact with the physical world. Wireless Sensor Network (WSN) technology is considered as the defacto concept which is the bridge to the real world. So, this technology should be adapted to support interoperability with the commodity Internet. This is not a straightforward process because the technological background of these networks do not fit each other. Hence, seamless interconnection between WSN and the IP networks is a challenging research problem. In this experimental study, proxy-based and gateway-based approaches to the solution are analyze . . .d and a hybrid approach which combines the advantages of them is defined. The proposed approach is used to build a web server for WSNs. The overall performance of the new server and its adaptation layer is tested on a real testbed with a series of experiments. The early results obtained in this study are very encouraging. Thus, further analysis is needed towards a seamless interconnection architecture for WSNs. © 2012 University of Split Daha fazlası Daha az

Medication intake adherence with real time activity recognition on IoT

Serdaroglu, K. | Uslu, G. | Baydere, S.

Conference Object | 2015 | 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015 , pp.230 - 237

Usefulness of health care services is seriously effected by medication adherence. Medication intake is one of the cases where adherence may be difficult for the patients, who are willing to undertake the prescribed therapy. Internet of Things (IoT) infrastructure for activity monitoring is a strong candidate solution to maintain adherence of forgetful patients. In this study, we propose an IoT framework where medication intake is ensured with real time continuous activity recognition. We present our use case with the focus of application and network layers. We utilize an activity classification scheme, which considers inter-activity . . . detection consistency based on non-predefined feature extraction as the application layer. The network layer includes a gateway structure ensuring end-to-end reliability in the connection between a wireless sensor network (WSN) and Internet. Results obtained in simulation environment suggest that the selected application and network layers introduce a feasible solution for the medication intake use case. © 2015 IEEE Daha fazlası Daha az

Image quality estimation in wireless multimedia sensor networks: An experimental study

Sarisaray Boluk, P. | Irgan, K. | Baydere, S. | Harmanci, A.E.

Conference Object | 2012 | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering66 LNICST , pp.226 - 241

Multimedia applications in wireless sensor networks (WMSN) have stringent quality of service (QoS) requirements. In this paper, we study image quality distortions due to packet losses in multi hop WMSN. An experimental simulation and real testbed environment has been setup to estimate the quality of the test images over 30,000 transmissions. Two scenarios are considered: in the first scenario, images are watermarked with their replicas at the source node and an error concealment (EC) algorithm is employed at the sink. In the second scenario, raw images are transmitted without any encoding. The empirical results have revealed that th . . .ere is a strong correlation between Peak-Signal-To-Noise- Ratio (PSNR) values of the distorted images and packet loss rate of the transmission route (PER). Moreover, the relationship is linear when EC technique is used with an achievement over 25dB PSNR for PER less than 0.6. This correlation is useful when designing QoS based transport schemes. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering Daha fazlası Daha az

Rh+: A hybrid localization algorithm for Wireless Sensor Networks

Basaran, C. | Baydere, S. | Kucuk, G.

Conference Object | 2008 | IEICE Transactions on CommunicationsE91-B ( 6 ) , pp.1852 - 1861

Today, localization of nodes in Wireless Sensor Networks (WSNs) is a challenging problem. Especially, it is almost impossible to guarantee that one algorithm giving optimal results for one topology will give optimal results for any other random topology. In this study, we propose a centralized, range- and anchor-based, hybrid algorithm called RH+ that aims to combine the powerful features of two orthogonal techniques: Classical Multi-Dimensional Scaling (CMDS) and Particle Spring Optimization (PSO). As a result, we find that our hybrid approach gives a fastconverging solution which is resilient to range-errors and very robust to top . . .ology changes. Across all topologies we studied, the average estimation error is less than 0.5 m. when the average node density is 10 and only 2.5% of the nodes are beacons. Copyright © 2008 The Institute of Electronics, Information and Communication Engineers Daha fazlası Daha az

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