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wireless-sensor-networks
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A novel approach for clustering and routing in WSN using genetic algorithm and equilibrium optimizer
, Article International Journal of Communication Systems ; Volume 35, Issue 10 , 2022 ; 10745351 (ISSN) ; Movaghar, A ; Motameni, H ; Barzegar, B ; Sharif University of Technology
John Wiley and Sons Ltd
2022
Abstract
The Internet of Things (IoT) is a new concept in the world of technology and information and has many applications in industry, communications, and various other fields. In the lowest layer of the IoT, wireless sensor networks (WSNs) play an important and pivotal role. WSN consists of a large number of sensors and is commonly used to monitor a target. It is important to reduce energy consumption in WSNs to extend network life, since it is usually impossible to replace sensor batteries. In this paper, a novel clustering and routing method is proposed. It is mainly based on genetic algorithms and equilibrium optimization. To improve scalability, the sensor nodes are clustered in the first...
On learning-assisted content-based secure image transmission for delay-aware systems with randomly-distributed eavesdroppers
, Article IEEE Transactions on Communications ; Volume 70, Issue 2 , 2022 , Pages 1125-1139 ; 00906778 (ISSN) ; Behroozi, H ; Khalaj, B. H ; Jorswieck, E. A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
In this paper, a learning-aided content-based image transmission scheme is proposed, where a multi-antenna source wishes to securely deliver an image to a legitimate destination in the presence of randomly-distributed passive eavesdroppers (Eves). We take into account the fact that not all regions of an image have the same importance from the security perspective. Hence, we employ a hybrid method to realize both the error-free data delivery of public regions - containing less-important pixels; and an artificial noise (AN)-aided transmission scheme for securing the confidential packets. To reinforce system's security, fountain-based packet delivery is also adopted, where the source node...
Network-adaptive multipath video delivery over wireless multimedia sensor networks based on packet and path priority scheduling
, Article Proceedings - 2010 International Conference on Broadband, Wireless Computing Communication and Applications, BWCCA 2010, 4 November 2010 through 6 November 2010 ; 2010 , Pages 351-356 ; 9780769542362 (ISBN) ; Akbari, B ; Sharif University of Technology
Abstract
In this paper we investigate multi-path transmission of video over Wireless Multimedia Sensor Networks (WMSNs). Our objective is to provide a transmission mechanism to improve the video quality perceived at the receiver while considering energy, bandwidth and delay constraints of the network. Our approach is based on packet and path priority scheduling in multipath video transmission over WMSN. Video packets are classified according to their types and more important packets are transmitted through paths with better conditions. Path conditions are evaluated by a score mechanism using variant parameters such as free buffer size, energy, hop count and packet loss. Since path conditions are...
A trainable neural network ensemble for ECG beat classification
, Article World Academy of Science, Engineering and Technology ; Volume 70 , 2010 , Pages 788-794 ; 2010376X (ISSN) ; Zakernejad, S ; Faridi, S ; Javadi, M ; Ebrahimpour, R ; Sharif University of Technology
2010
Abstract
This paper illustrates the use of a combined neural network model for classification of electrocardiogram (ECG) beats. We present a trainable neural network ensemble approach to develop customized electrocardiogram beat classifier in an effort to further improve the performance of ECG processing and to offer individualized health care. We process a three stage technique for detection of premature ventricular contraction (PVC) from normal beats and other heart diseases. This method includes a denoising, a feature extraction and a classification. At first we investigate the application of stationary wavelet transform (SWT) for noise reduction of the electrocardiogram (ECG) signals. Then...
Cooperative transmission for wireless relay networks using limited feedback
, Article IEEE Transactions on Signal Processing ; Volume 58, Issue 7 , Jun , 2010 , Pages 3828-3841 ; 1053587X (ISSN) ; Khalaj, B. H ; Gershman, A. B ; Sharif University of Technology
2010
Abstract
To achieve the available performance gains in half-duplex wireless relay networks, several cooperative schemes have been earlier proposed using either distributed space-time coding or distributed beamforming for the transmitter without and with channel state information (CSI), respectively. However, these schemes typically have rather high implementation and/or decoding complexities, especially when the number of relays is high. In this paper, we propose a simple low-rate feedback-based approach to achieve maximum diversity with a low decoding and implementation complexity. To further improve the performance of the proposed scheme, the knowledge of the second-order channel statistics is...
Multiuser power allocation in downlink of cooperative CDMA networks
, Article IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, 13 September 2009 through 16 September 2009 ; 2009 ; 9781424451234 (ISBN) ; Jafarnia, A ; Sharif University of Technology
Abstract
In this paper, we study the downlink of cooperative Direct-Sequence Code Division Multiple Access (DS-CDMA) systems, where a set of Mobile Terminals (MT) cooperate with the purpose of improving their downlink communications reliability with the Base Station (BS). For combating Multiple-Access Interference (MAI) as well as transferring complexity and spatial processing from the mobile terminals to the transmitter of BS, multiuser transmitter precoding is considered. In addition to multiuser precoding based on Minimum Mean-Square Error (MMSE) criterion for mitigating MAI, the proper transmission power control strategy under a fixed total power constraint is proposed and analyzed. Compared with...
A learning based method for topology control in wireless sensor networks
, Article 5th International Conference on Autonomic and Autonomous Systems, ICAS 2009, Valencia, 20 April 2009 through 25 April 2009 ; 2009 , Pages 51-55 ; 9780769535845 (ISBN) ; Shouraki, S. B ; Sharif University of Technology
2009
Abstract
Topology Control (TC) is one of the most important techniques used in wireless ad hoc and sensor networks to reduce energy consumption and radio interference, The goal of this technique is to control the topology of the graph representing the communication links between network nodes with the purpose of maintaining some global graph property (e.g., connectivity), while reducing energy consumption and/or interference that are strictly related to the nodes' transmitting range. In this paper we present a new distributed learning based method to choose nodes transmitting range, in this method we run a range adjustment mechanism periodically to choose a near optimal transmitting range, we don't...
Finding aggregation tree with genetic algorithm for network correlated data gathering
, Article 2nd International Conference on Sensor Technologies and Applications, SENSORCOMM 2008, Cap Esterel, 25 August 2008 through 31 August 2008 ; 2008 , Pages 429-434 ; 9780769533308 (ISBN) ; Tahaee, S. A ; Jahangir, A. H ; Sharif University of Technology
2008
Abstract
The critical issue in designing correlated data networks like Wireless Sensor Networks is to minimize the total cost of data transmission in the network, and decrease the amount of data flow. The problem of finding optimal aggregation tree for correlated data gathering in single sink network is considered as an NP-Complete problem and hence heuristic methods are usually applied to solve it[1]. In this paper, we apply genetic algorithm (GA) to solve the problem. In our method, we improve the performance of genetic search by selecting proper initial population. This initial population is determined in two ways, by using Prime's algorithm, and shortest path tree. The main issue is to regard...