Relevant bibliographies by topics / Energy-Efficient Localization

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
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Academic literature on the topic 'Energy-Efficient Localization'

Author: Grafiati
Published: 16 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "Energy-Efficient Localization"

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Jurdak, Raja, Peter Corke, Alban Cotillon, Dhinesh Dharman, Chris Crossman, and Guillaume Salagnac. "Energy-efficient localization." ACM Transactions on Sensor Networks 9, no. 2 (2013): 1–33. http://dx.doi.org/10.1145/2422966.2422980.

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Liu, Haifeng, Feng Xia, Zhuo Yang, and Yang Cao. "An energy-efficient localization strategy for smartphones." Computer Science and Information Systems 8, no. 4 (2011): 1117–28. http://dx.doi.org/10.2298/csis110430065l.

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In recent years, smartphones have become prevalent. Much attention is being paid to developing and making use of mobile applications that require position information. The Global Positioning System (GPS) is a very popular localization technique used by these applications because of its high accuracy. However, GPS incurs an unacceptable energy consumption, which severely limits the use of smartphones and reduces the battery lifetime. Then an urgent requirement for these applications is a localization strategy that not only provides enough accurate position information to meet users' need but al
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Choi, Taehwa, Yohan Chon, and Hojung Cha. "Energy-efficient WiFi scanning for localization." Pervasive and Mobile Computing 37 (June 2017): 124–38. http://dx.doi.org/10.1016/j.pmcj.2016.07.005.

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Abdellatif, Mohamed. "GreenLoc: Energy Efficient Wifi-Based Indoor Localization." Qatar Foundation Annual Research Forum Proceedings, no. 2011 (November 2011): CSP20. http://dx.doi.org/10.5339/qfarf.2011.csp20.

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Abu-Mahfouz, Adnan M., and Gerhard P. Hancke. "ALWadHA Localization Algorithm: Yet More Energy Efficient." IEEE Access 5 (2017): 6661–67. http://dx.doi.org/10.1109/access.2017.2687619.

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Taheri, Mostafa, and Seyed Ahmad Motamedi. "Energy-efficient cooperative localization in mobile WSN." IEEJ Transactions on Electrical and Electronic Engineering 12, no. 1 (2016): 71–79. http://dx.doi.org/10.1002/tee.22346.

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Taheri, Mostafa, and Seyed Ahmad Motamedi. "Transceiver Optimization for ToA-Based Localization of Mobile WSN." Journal of Circuits, Systems and Computers 25, no. 09 (2016): 1650100. http://dx.doi.org/10.1142/s0218126616501000.

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One of the main parameters in wireless sensor networks (WSNs) is the design of energy-efficient protocols. And accuracy is another central goal of localization. Since sensor nodes run on battery power, any WSN application and accurate localization needs to be energy-efficient. In this paper, the accuracy of localization is increased by accurate measurement of the distance between the mobile sensors. Limit error in multiple-input multiple-output (MIMO) has been calculated by CRB method. Virtual MIMO (VMIMO) technique can obtain better localization precision and the localization is energy-effici
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Wang, Wendong, Teng Xi, Edith Ngai, and Zheng Song. "Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing." Sensors 16, no. 6 (2016): 762. http://dx.doi.org/10.3390/s16060762.

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Bui, ThiOanh, Pingping Xu, Wenxiang Zhu, Guilu Wu, and Nanlan Jiang. "Energy-Efficient Localization Game for Wireless Sensor Networks." IEEE Communications Letters 21, no. 11 (2017): 2468–71. http://dx.doi.org/10.1109/lcomm.2017.2731966.

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Aly, Heba, Anas Basalamah, and Moustafa Youssef. "Accurate and Energy-Efficient GPS-Less Outdoor Localization." ACM Transactions on Spatial Algorithms and Systems 3, no. 2 (2017): 1–31. http://dx.doi.org/10.1145/3085575.

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Dissertations / Theses on the topic "Energy-Efficient Localization"

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Vecchia, Davide. "Energy-efficient, Large-scale Ultra-wideband Communication and Localization." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/349081.

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Among the low-power wireless technologies that have emerged in recent years, ultra-wideband (UWB) has successfully established itself as the reference for accurate ranging and localization, both outdoors and indoors. Due to its unprecedented performance, paired with relatively low energy consumption, UWB is going to play a central role in the next wave of location-based applications. As the trend of integration in smartphones continues, UWB is also expected to reach ordinary users, revolutionizing our lives the same way GPS and similar technologies have done. But the impact of UWB may not be l
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Robles, Jorge Juan [Verfasser]. "Energy-Efficient Indoor Localization Based on Wireless Sensor Networks / Jorge Juan Robles." München : Verlag Dr. Hut, 2015. http://d-nb.info/1075408962/34.

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Oztarak, Hakan. "An Energy-efficient And Reactive Remote Surveillance Framework Using Wireless Multimedia Sensor Networks." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614328/index.pdf.

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With the introduction of Wireless Multimedia Sensor Networks, large-scale remote outdoor surveillance applications where the majority of the cameras will be battery-operated are envisioned. These are the applications where the frequency of incidents is too low to employ permanent staffing such as monitoring of land and marine border, critical infrastructures, bridges, water supplies, etc. Given the inexpensive costs of wireless resource constrained camera sensors, the size of these networks will be significantly larger than the traditional multi-camera systems. While large number of cameras ma
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Shah, Ghalib Asadullah. "Energy-efficient Real-time Coordination And Routing Framework For Wireless Sensor And Actor Networks." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608239/index.pdf.

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In Wireless Sensor Actor Networks (WSANs), sensor nodes perform the sensing task and actor nodes take action based on the sensed phenomenon. The presence of actors in this configuration can not be benefited from, unless they are able to execute actions at right place and right time in the event region. The right place can be related to the accurate position of the sensor nodes. While, the right time is related to delivering the packets directly to the appropriate actors within the event specific response times. Hence, the efficient localization of sensor nodes, sensor-actor/actor-actor coordin
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Jouni, Zalfa. "Analog spike-based neuromorphic computing for low-power smart IoT applications." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST114.

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Avec l'expansion de l'Internet des objets (IoT) et l'augmentation des appareils connectés et des communications complexes, la demande de technologies de localisation précises et économes en énergie s'est intensifiée. Les techniques traditionnelles de machine learning et d'intelligence artificielle (IA) offrent une haute précision dans la localisation par radiofréquence (RF), mais au prix d'une complexité accrue et d'une consommation d'énergie élevée. Pour relever ces défis, cette thèse explore le potentiel de l'informatique neuromorphique, inspirée par les mécanismes du cerveau, pour permettre
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Lin, Wen-Chieh, and 林文傑. "Energy Efficient Localization Schemes in Wireless Sensor Networks." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/94697077125583010580.

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碩士<br>逢甲大學<br>資訊工程所<br>97<br>In wireless sensor networks, localization play an important role in data gathering, data reporting and object tracking. However if each sensor equips with GPS receiver, it is high cost and not energy efficient. Besides, sensors also unable to obtain the GPS signal in the indoor environment due to the shielding effect. In general, there are several anchors deployed in wireless sensor networks and the anchors broadcast beacons with their locations to help sensor nodes to estimate their locations; another way is that the mobile anchor moves along the planned path and
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Lin, Tsung-Han, and 林宗翰. "Energy-Efficient Boundary Detection for RF-Based Indoor Localization Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/96629098938075670811.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>96<br>Boundary detection is a form of location-aware services that aims at detecting targets crossing certain critical regions. Typically, a lower location sampling rate contributes to a lower level of energy consumption but, in the meantime, delays the detection of boundary crossing events. Opting to enable energy-efficient boundary detection services, we propose a mobility-aware mechanism that adapts the location sampling rate to the target mobility. Results from our simulations and live experiments confirm that the proposed adaptive sampling mechanism is effectiv
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Lin, Tsung-Han. "Energy-Efficient Boundary Detection for RF-Based Indoor Localization Systems." 2008. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1807200814365200.

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You, Chuang-Wen, and 游創文. "Enabling Energy-Efficient Localization Services on Sensor Network Positioning Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/40648502526364542762.

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博士<br>臺灣大學<br>資訊工程學研究所<br>96<br>One of the most important performance objectives for a localization system is positional accuracy. It is fundamental and essential to general location-aware services. Energy efficiency and positional accuracy, however, are often contradictive goals. We propose to decrease energy consumption without sacrificing significant accuracy by developing an energy-aware localization that adapts the sampling rate to target''s mobility level and current estimation error. As an energy-aware adaptive localization system, our system actively adapts its sampling rate to conserv
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Cheng, Li-Wen, and 鄭理文. "Energy-Efficient Indoor Localization and Tracking for Internet of Things." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/mjasxg.

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碩士<br>國立臺灣大學<br>電信工程學研究所<br>106<br>With the rapid rise of Internet of Things (IoT), it is convenient to connect the physical world to the Internet through wireless communication. IoT is composed of many sensors and wireless networks. IoT has been applied to a lot of applications such as environmental sensing, factory automation, healthcare monitoring, etc. In the hospital, nurses and doctors are interested in the health status of patients and, of course, the location of them. In the factory, the managers want to monitor not only the robot operations but also the locations of them. Among these
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Book chapters on the topic "Energy-Efficient Localization"

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Sutagundar, A. V., S. S. Shirabur, and V. S. Bennur. "Energy Efficient Localization in Wireless Sensor Networks." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03692-2_11.

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Constandache, Ionut, Shravan Gaonkar, Matt Sayler, Romit Roy Choudhury, and Landon Cox. "Energy-Efficient Localization via Personal Mobility Profiling." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12607-9_14.

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Liu, Minmin, Baoqi Huang, Qing Miao, and Bing Jia. "An Energy-Efficient DV-Hop Localization Algorithm." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05054-2_13.

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Gu, Yu, Wei Zhang, HengChang Liu, Baohua Zhao, and Yugui Qu. "Energy-Efficient Target Localization Based on a Prediction Model." In Embedded and Ubiquitous Computing – EUC 2005 Workshops. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596042_120.

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Shikoska, Ustijana Rechkoska, and Danco Davcev. "An Energy-Efficient Approach for Time-Space Localization in Wireless Sensor Networks." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28664-3_10.

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Kumar, Sunil, Prateek Raj Gautam, Swati Verma, and Arvind Kumar. "An Energy-Efficient Localization Scheme Using Beacon Nodes for Wireless Sensor Networks." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6840-4_12.

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Hao, Kun, Haifeng Shen, Yonglei Liu, and Beibei Wang. "An Energy-Efficient Localization-Based Geographic Routing Protocol for Underwater Wireless Sensor Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90802-1_32.

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Bhairavi, R., and Gnanou Florence Sudha. "Energy Efficient Advancement-Based Dive and Rise Localization for Underwater Acoustic Sensor Networks." In Inventive Computation and Information Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6723-7_18.

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Kalina, Jan, and Patrik Janáček. "Robustness Aspects of Optimized Centroids." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_22.

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AbstractCentroids are often used for object localization tasks, supervised segmentation in medical image analysis, or classification in other specific tasks. This paper starts by contributing to the theory of centroids by evaluating the effect of modified illumination on the weighted correlation coefficient. Further, robustness of various centroid-based tools is investigated in experiments related to mouth localization in non-standardized facial images or classification of high-dimensional data in a matched pairs design. The most robust results are obtained if the sparse centroid-based method
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Sandnes, Frode Eika. "An Energy Efficient Localization Strategy for Outdoor Objects Based on Intelligent Light-Intensity Sampling." In Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16355-5_17.

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Conference papers on the topic "Energy-Efficient Localization"

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Singh, Hina, Preeti Yadav, Mano Yadav, Abhishek Gautam, Ashutosh Shankhdhar, and Vinay Rishiwal. "Towards Energy-Efficient Optimized Localization in Wireless Sensor Networks." In 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). IEEE, 2025. https://doi.org/10.1109/dicct64131.2025.10986608.

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Naqvi, Hassan Raza, Muhammad Tahir, Naeem Raza, Mohsin Raza Jafri, and Muhammad Faizan Khan. "RSSI-based energy efficient underwater localization technique for AUVs." In 2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2024. https://doi.org/10.1109/hpcc64274.2024.00162.

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Jabberi, Maher, Bassem Sellami, Akram Hakiri, and Mohamed Adel Alimi. "Accurate Energy-Efficient Localization Hybrid Models for Distributed IoT Sensing." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA). IEEE, 2024. https://doi.org/10.1109/aiccsa63423.2024.10912590.

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Agrawal, Vivek, Kuldeep Singh Kaswan, and Sanjay Kumar. "Advanced Deep Learning for Accurate Detection and Localization of Brain Tumors using MRI." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993533.

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Naresh, Burri, Ch Ravikumar, P. Laxmi Prasanna, B. Sudha Madhuri, Satyanarayana Nimmala, and Pilla Srinivas. "Hybrid Deep Learning-Based Localization for Energy-Efficient Wireless Sensor Networks in Indoor IoT Environments." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10800888.

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Cheng, Wei, Jindan Zhu, Prasant Mohapatra, and Jie Wang. "Time and energy efficient localization." In 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2014. http://dx.doi.org/10.1109/sahcn.2014.6990330.

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Dai, We nhan, Yuan Shen, and Moe Z. Win. "Energy efficient cooperative network localization." In ICC 2014 - 2014 IEEE International Conference on Communications. IEEE, 2014. http://dx.doi.org/10.1109/icc.2014.6884108.

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Jurdak, Raja, Peter Corke, Dhinesh Dharman, et al. "Energy-efficient localization for virtual fencing." In the 9th ACM/IEEE International Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1791212.1791268.

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You, Xudong, Zefang Lv, Yuzhen Ding, Wei Su, and Liang Xiao. "Reinforcement Learning Based Energy Efficient Underwater Localization." In 2020 International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2020. http://dx.doi.org/10.1109/wcsp49889.2020.9299789.

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Wang, Yufeng, Yuanting Bu, Qun Jin, and Athanasios V. Vasilakos. "Energy-Efficient Localization and Tracking on Smartphones." In CFI '16: The 11th International Conference on Future Internet Technologies. ACM, 2016. http://dx.doi.org/10.1145/2935663.2935675.

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Reports on the topic "Energy-Efficient Localization"

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Oliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, 2021. http://dx.doi.org/10.20933/100001230.

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In this paper an isotropic hardening elastoplastic constitutive model for structured soils is applied to the simulation of a standard CPTu test in a saturated soft structured clay. To allow for the extreme deformations experienced by the soil during the penetration process, the model is formulated in a fully geometric non-linear setting, based on: i) the multiplicative decomposition of the deformation gradient into an elastic and a plastic part; and, ii) on the existence of a free energy function to define the elastic behaviour of the soil. The model is equipped with two bonding-related intern
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