Relevant bibliographies by topics / Human-centric wireless sensor network

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Human-centric wireless sensor network'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Human-centric wireless sensor network"

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Singh, Akhilendra Pratap, Ashish Kr Luhach, Xiao-Zhi Gao, Sandeep Kumar, and Diptendu Sinha Roy. "Evolution of wireless sensor network design from technology centric to user centric: An architectural perspective." International Journal of Distributed Sensor Networks 16, no. 8 (2020): 155014772094913. http://dx.doi.org/10.1177/1550147720949138.

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Wireless sensor networks form the crux of a wide range of automated applications that are gaining popularity with every passing day. The journey of wireless sensor networks has seen simple sensory monitoring to sensing-processing-actuation based end-to-end applications to the design and deployment of highly sophisticated service-oriented use cases. This highly disruptive field has seen rapid transformations to gain insights and assess the relative merits. Demerits of competing design strategies, it very important to know the evolutionary milestones this technology has undergone in achieving th
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Selmic, Rastko R., Jake Scoggin, Stephen Oonk, and Francisco Maldonado. "Wireless Sensor Networks Fault Detection and Identification." International Journal of Robotics and Control Systems 3, no. 4 (2023): 804–23. http://dx.doi.org/10.31763/ijrcs.v3i4.1136.

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We have developed and experimentally tested a set of models for the detection and identification of sensor faults that commonly occur in wireless sensor networks. Considered faults include outlier, spike, variance, high-frequency noise, offset, gain, and drift faults. These faults affect the system operations and can endanger operators, final users, and the general public. The fault detection models are divided into two classes: data-centric models, which only analyze a single data stream, and system-centric models, which consider the overall system. For data-centric models, we use the magnitu
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Mondal, Raj Kumar, and Debabrata Sarddar. "DATA-CENTRIC ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS: A SURVEY." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 02 (2014): 593–98. https://doi.org/10.5281/zenodo.14640111.

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This survey paper is more focused and can serve those who like to overall concept about all data centric routing for wireless sensor networks. To the best of our knowledge, our paper is the first work to make a classification of routing protocols in sensor networks. Sensor networks are classified by considering several architectural factors such as network dynamics, data aggregations, node capabilities and the data delivery model. Such classification is helpful for a designer to select the appropriate infrastructure for his/her application. Our work is a dedicated study of different data centr
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Srivastava, Mani, Tarek Abdelzaher, and Boleslaw Szymanski. "Human-centric sensing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1958 (2012): 176–97. http://dx.doi.org/10.1098/rsta.2011.0244.

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The first decade of the century witnessed a proliferation of devices with sensing and communication capabilities in the possession of the average individual. Examples range from camera phones and wireless global positioning system units to sensor-equipped, networked fitness devices and entertainment platforms (such as Wii). Social networking platforms emerged, such as Twitter, that allow sharing information in real time. The unprecedented deployment scale of such sensors and connectivity options ushers in an era of novel data-driven applications that rely on inputs collected by networks of hum
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Liu, Yong, Baohua Liang, and Jiabao Jiang. "Information Processing and Data Management Technology in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 09 (2018): 66. http://dx.doi.org/10.3991/ijoe.v14i09.8270.

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<p>The wireless sensor network is essentially a data-centric network that processes the continuous stream of data, which is collected by different sensors. Therefore, the existing data management technologies regard the wireless sensor network, which is named WSN as a distributed database, and it is composed of continuous data streams from the physical world. Wireless sensor networks are emerging next-generation sensor networks, but their transmission of information is highly dependent. The wireless sensor network processes the continuous stream of data collected by the sensor. Based on
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Ahmed, Ayam Tawfeek, Ahmed Noori Rashid, and Khalid Shaker. "Localization in Wireless Sensor Network." Webology 19, no. 1 (2022): 692–704. http://dx.doi.org/10.14704/web/v19i1/web19049.

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The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locations for all sensors. Simulating the BOA with using number of sensors from 25 to 150 sensors and number of the anchor nodes. The distance between sensors and anchors measures by Received Signal Strength (RSS) so, this strategy is known as RSS-BOA. Th
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Lachowski, Rosana, Marcelo Pellenz, Edgard Jamhour, et al. "ICENET: An Information Centric Protocol for Big Data Wireless Sensor Networks." Sensors 19, no. 4 (2019): 930. http://dx.doi.org/10.3390/s19040930.

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Wireless Sensors Networks (WSNs) are an essential element of the Internet of Things (IoT), and are the main producers of big data. Collecting a huge amount of data produced by a resource-constrained network is a very difficult task, presenting several challenges. Big data gathering involves not only periodic data sensing, but also the forwarding of queries and commands to the network. Conventional network protocols present unfeasible strategies for large-scale networks and may not be directly applicable to IoT environments. Information-Centric Networking is a revolutionary paradigm that can ov
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Roc, Meseguer, Molina Carlos, F. Ochoa Sergio, and Santos Rodrigo. "Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks." Sensors 14 (February 7, 2014): 2619–43. https://doi.org/10.3390/s140202619.

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The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study ba
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Shin, Changsun, and Meonghun Lee. "Swarm-Intelligence-Centric Routing Algorithm for Wireless Sensor Networks." Sensors 20, no. 18 (2020): 5164. http://dx.doi.org/10.3390/s20185164.

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The swarm intelligence (SI)-based bio-inspired algorithm demonstrates features of heterogeneous individual agents, such as stability, scalability, and adaptability, in distributed and autonomous environments. The said algorithm will be applied to the communication network environment to overcome the limitations of wireless sensor networks (WSNs). Herein, the swarm-intelligence-centric routing algorithm (SICROA) is presented for use in WSNs that aim to leverage the advantages of the ant colony optimization (ACO) algorithm. The proposed routing protocol addresses the problems of the ad hoc on-de
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Khan, Mohammad Monirujjaman, and Tabia Hossain. "Compact Planar Inverted F Antenna (PIFA) for Smart Wireless Body Sensors Networks." Engineering Proceedings 2, no. 1 (2020): 63. http://dx.doi.org/10.3390/ecsa-7-08253.

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In this paper a dual band, a dual band Planar Inverted F antenna (PIFA) is designed for wireless communication intended to be used in wireless body sensor networks. The designed PIFA operates at two different frequency bands, 2.45 GHz Industrial, Scientific and Medical band (ISM) and 5.2 GHz (HiperLAN band). In body-centric wireless networks, antennas need to be integrated with wireless wearable sensors. An antenna is an essential part of wearable body sensor networks. For on-body communications, antennas need to be less sensitive to human body effects. For body-centric communications, wearabl
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Dissertations / Theses on the topic "Human-centric wireless sensor network"

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Godoy, Mardones Jorge Felipe. "Desarrollo de una herramienta de modelamiento de Human-centric wireless sensor networks." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/135358.

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Ingeniero Civil en Computación<br>Los avances en computación móvil y redes inalámbricas están posibilitando grandes oportunidades de desarrollar sistemas colaborativos. La concepción y diseño de estos sistemas representa un desafío para los diseñadores de software debido a la heterogeneidad y dinamismo de las interacciones que deben ser soportadas. El poder modelar y evaluar el sistema en fase de diseño permite detectar errores y sugerir mejoras que ayuden al desarrollo dirigido a un producto final que realmente soporte el trabajo colaborativo. En este contexto, investigadores del Departament
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Jolly, James, Joe Bishop, and Emilio Nanni. "Tracking the Human Body Via a Wireless Network of Pyroelectric Sensor Arrays." International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606242.

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ITC/USA 2008 Conference Proceedings / The Forty-Fourth Annual International Telemetering Conference and Technical Exhibition / October 27-30, 2008 / Town and Country Resort & Convention Center, San Diego, California<br>This paper describes the design and construction of a low-cost wireless sensor network (WSN) intended to track a human body walking upright through its physical topology. The network consists of arrays of pyroelectric infrared (PIR) sensors that can detect a moving body up to five meters away within a semicircular field of view. Data is gathered from these arrays and transmitted
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Kohlmeyer, Eckhard Bernhard. "A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06252009-124552/.

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Alaparthy, Vishwa. "A Study on the Adaptability of Immune System Principles to Wireless Sensor Network and IoT Security." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7461.

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Network security has always been an area of priority and extensive research. Recent years have seen a considerable growth in experimentation with biologically inspired techniques. This is a consequence of our increased understanding of living systems and the application of that understanding to machines and software. The mounting complexity of telecommunications networks and the need for increasing levels of security have been the driving factor. The human body can act as a great role model for its unique abilities in protecting itself from external
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Grzybowská, Martina. "Human Mo-cap System Based on Inertial Measurement Units." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445474.

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Cieľom tejto práce je navrhnúť, zhotoviť a implementovať vlastný systém pre zachytávanie pohybu založený na inerciálnych meracích jednotkách. V rámci budovania teoretického základu bolo preskúmaných viacero metód, avšak primárne bola pozornosť venovaná samotnému inerciálnemu snímanu - jeho kladom a nedostatkom, kľúčovým vlastnostiam a jednotlivým komponentom potrebným pre zostrojenie systému na jeho báze. Tento úvodný zber informácií je nasledovaný fázami návrhu, zhotovenia a zhodnotenia, ktoré sa zaoberajú procesom vývoja a testovania daného riešenia. Hlavným prínosom realizácie systému je zo
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KHAN, SARMAD ULLAH. "Key Management in Wireless Sensor Networks, IP-Based Sensor Networks, Content Centric Networks." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506342.

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Cryptographic keys and their management in network communication is considered the main building block of security over which other security primitives are based. These cryptographic keys ensure the privacy, authentication, integrity and non-repudiation of messages. However, the use of these cryptographic keys and their management in dealing with the resource constrained devices (i.e. Sensor nodes) is a challenging task. A number of key management schemes have been introduced by researchers all over the world for such resource constrained networks. For example, light weight PKI and elliptic
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Jaber, Ghada. "A content-centric approach for wireless sensor networks." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30196.

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Les réseaux de capteurs sans fil constituent une partie essentielle de la couche " perception " de l'Internet des objets (IoT ou Internet of Things), et reconnectent le monde numérique créée par les réseaux informatiques classiques au monde physique. Ils font émerger sans cesse de nouvelles applications grâce à un nombre important d'éléments, qui collectent des données de l'environnement, les traitent et les disséminent. Aujourd'hui, circulent dans l'IoT des volumes de données importants, très variés et souvent générés de façon continue mettant plus l'accent sur l'information et non sur sa sou
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Munoz, Torrico Max O. "Experimental characterisation of body-centric radio channels using wireless sensors." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8686.

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Wireless sensors and their applications have become increasingly attractive for industry, building automation and energy control, paving the way for new applications of sensor networks which go well beyond traditional sensor applications. In recent years, there has been a rapid growth in the number of wireless devices operating in close proximity to the human body. Wearable sensor nodes are growing popular not only in our normal living lifestyle, but also within healthcare and military applications, where different radio units operating in/on/off body communicate pervasively. Expectations go b
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Gupta, Manik. "Data-centric energy efficient adaptive sampling techniques for wireless pollution sensor networks." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8189.

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Air pollution is one of the gravest problems being faced by modern world, and urban traffic emissions are the single major source of air pollution. This work is founded on collaboration with environmental scientists who need fine grained data to enable better understanding of pollutant distribution in urban street canyons. “Wireless sensor networks” can be used to deploy a significant number of sensors within a space as small as a single street canyon and capture simultaneous readings both in the time and space domain. Sensor energy management becomes the most critical constraints of such a so
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BISWAS, RATNABALI. "Query Processing and Link Layer QoS Provisioning Mechanisms for Wireless Sensor Networks." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1163285841.

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Books on the topic "Human-centric wireless sensor network"

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Guang-Zhong, Yang, ed. Body sensor networks. Springer, 2006.

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Tan, Yen Kheng, ed. Wireless Sensor Networks: Application-Centric Design. InTech, 2010. http://dx.doi.org/10.5772/658.

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Wireless Sensor Networks: Application-Centric Design. InTech, 2010.

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Body Sensor Networks. Springer, 2014.

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Yang, Guang-Zhong. Body Sensor Networks. Springer London, Limited, 2014.

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Yacoub, M., and Guang-Zhong Yang. Body Sensor Networks. Springer London, Limited, 2006.

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(Foreword), M. Yacoub, and Guang-Zhong Yang (Editor), eds. Body Sensor Networks. Springer, 2006.

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Yang, Guang-Zhong. Body Sensor Networks. Springer, 2016.

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Book chapters on the topic "Human-centric wireless sensor network"

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Shakunt, Pravindra Shekhar. "Diagnosis of Faults in Wireless Sensor Networks Through Machine Learning Approach." In Human-Centric Smart Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7711-6_17.

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Dharap, Nilesh, Rushikesh Porwal, Prajakta Bhoi, S. M. Anagha, and K. C. Sriharipriya. "Design and Development of Wireless Sensor Network for Real-Time Monitoring and Prevention of Accidents in Hilly Area." In Human-Centric Smart Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7711-6_8.

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Li, Wei, Javid Taheri, Albert Y. Zomaya, Franciszek Seredynski, and Bjorn Landfeldt. "Nature-Inspired Computing for Autonomic Wireless Sensor Networks." In Large Scale Network-Centric Distributed Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118640708.ch11.

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Mizanian, Kambiz, and Amir Hossein Jahangir. "Analytical Model of Time-Critical Wireless Sensor Network: Theory and Evaluation." In Large Scale Network-Centric Distributed Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118640708.ch09.

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Sandhya, M. K., and K. Murugan. "Secure Framework for Data Centric Heterogeneous Wireless Sensor Networks." In Recent Trends in Network Security and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14478-3_1.

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Shostko, Igor, Andriy Tevyashev, Mykhaylo Neofitnyi, and Yuliia Kulia. "Information-Measuring System of Polygon Based on Wireless Sensor Infocommunication Network." In Data-Centric Business and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43070-2_28.

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Carreño, Pablo, Francisco Gutierrez, Sergio F. Ochoa, and Giancarlo Fortino. "Using Human-Centric Wireless Sensor Networks to Support Personal Security." In Internet and Distributed Computing Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41428-2_5.

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Belej, Olexander, Tamara Lohutova, and Liubov Halkiv. "Development of Evaluation Templates for the Protection System of Wireless Sensor Network." In Data-Centric Business and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71892-3_10.

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Huang, Haolei, Yong Zhang, Da Guo, Yifei Wei, Juan Chen, and Xuyan Bao. "Single Link Routing Protocol for Wireless Sensor Network." In Human Centered Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31854-7_14.

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Delicato, Flávia C., Igor L. dos Santos, Luci Pirmez, Paulo F. Pires, and Claudio M. de Farias. "Challenges In The Use of Wireless Sensor Networks for Monitoring The Health of Civil Structures." In Large Scale Network-Centric Distributed Systems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118640708.ch07.

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Conference papers on the topic "Human-centric wireless sensor network"

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Nwazor, Nkolika O., Justice C. Erowele, Remigius O. Okeke, Ekene S. Mbonu, and Otelemate M. Horsfall. "Energy Optimization of Wireless Body Area Network(WBAN) Using TDMA Duty Cycling and Thermal Energy Harvesting." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-1wcg7x.

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Energy harvesting is an effective technique for optimizing Wireless Body Area Network (WBAN) devices used for continuous healthcare services delivery. Despite the growing popularity of WBANs in recent years due to their potential to transform healthcare, energy consumption remains a critical issue. This is due to several factors such as the limited capacity of batteries in smaller sensor nodes, the continuous operation that drains batteries and renders the nodes inoperable, and the impracticality of replacing batteries in situations where the sensors are implanted in the human body and would r
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Jiu, Yuanming, Qimeng Niu, and Jiacheng Feng. "Human Motion Trajectory Perception and Recognition Based on Multi Sensor Network Fusion with Conditional Random Fields." In 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC). IEEE, 2024. https://doi.org/10.1109/icmnwc63764.2024.10871980.

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Wong, Desmond, Akshayalakshmi Padmanathan, and Hamed Rahmani. "Performance Optimization of Resource-Constrained Wireless Receiver Front-Ends with Power-Centric Design Approaches." In 2025 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT). IEEE, 2025. https://doi.org/10.1109/wisnet63956.2025.10905015.

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Monares, Alvaro, Sergio F. Ochoa, Valeria Herskovic, Rodrigo Santos, and Jose A. Pino. "Modeling interactions in human-centric wireless sensor networks." In 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2014. http://dx.doi.org/10.1109/cscwd.2014.6846923.

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Raje, Sejal, and Qilian Liang. "Time Synchronization in Network-Centric Sensor Networks." In 2007 IEEE Radio and Wireless Symposium. IEEE, 2007. http://dx.doi.org/10.1109/rws.2007.351836.

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Meseguer, Roc, Carlos Molina, Sergio F. Ochoa, and Rodrigo Santos. "Reducing energy consumption in human-centric wireless sensor networks." In 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2012. http://dx.doi.org/10.1109/icsmc.2012.6377943.

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Salhi, I., Y. Ghamri-Doudane, S. Lohier, and G. Roussel. "Network Coding for Event-Centric Wireless Sensor Networks." In ICC 2010 - 2010 IEEE International Conference on Communications. IEEE, 2010. http://dx.doi.org/10.1109/icc.2010.5502545.

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Awad, Abdalkarim, Reinhard Germany, and Falko Dressler. "Data-centric cooperative storage in wireless sensor network." In 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL). IEEE, 2009. http://dx.doi.org/10.1109/isabel.2009.5373619.

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Kumar, Raushan, Raju Ranjan Kumar, and Ankit Mundra. "Centric query processing in Heterogeneous Wireless Sensor Network." In 2015 1st International Conference on Next Generation Computing Technologies (NGCT). IEEE, 2015. http://dx.doi.org/10.1109/ngct.2015.7375130.

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Hesiri Weerasinghe, Imad H. Elhajj, Aleksandra Krsteva, and Mazen Abou Najm. "Data centric adaptive in-network aggregation for wireless sensor networks." In 2007 IEEE/ASME international conference on advanced intelligent mechatronics. IEEE, 2007. http://dx.doi.org/10.1109/aim.2007.4412405.

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