Relevant bibliographies by topics / Depth based routing

Contents

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

Academic literature on the topic 'Depth based routing'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Depth based routing"

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Andalib, Abdolreza, Fariba Abbasi Nia, Mojtaba Jamshidi, Abdusalam Abdulla Shaltooki, and Mehdi Esnaashari. "ADBR: Accelerated Depth-Based Routing for Underwater Sensor Networks." JITCE (Journal of Information Technology and Computer Engineering) 6, no. 01 (2022): 19–28. http://dx.doi.org/10.25077/jitce.6.01.19-28.2022.

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It is challenging to propose an efficient routing algorithm for Underwater Wireless Sensor Networks (UWSNs) in terms of packet delivery ratio, end-to-end delay of packet delivery from the source to the destination, and energy consumption. The reasons of that are UWSNs have unique characteristics (e.g. using acoustic channels instead of radio channels for communications), and they have dynamic topology due to the movement of the sensor by the water flow. Depth-Based Routing (DBR) considers one of the well-known algorithms in this context. DBR is a very simple algorithm; however, it is inefficient in terms of packet delivery rate, end-to-end delay, and energy consumption. This study we developed DBR by adding an accelerated routine to it to improve its efficiency, the proposed algorithm; called Accelerated Depth-Based Routing (ADBR). In ADBR, a simple probabilistic mechanism is used to accelerate packet forwarding and provide more multi-path to the destination. In ADBR, each node immediately delivers received packet to the destination with a probability of and follows the DBR routine with a probability of 1 – Pf. The performance of ADBR is evaluated via a set of experiments by using J-SIM simulator. Experimental results indicate the superiority of the ADBR over the DBR algorithm.
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Patil, Prasad, and Rinku Shah. "DEPTH-3 ADJACENCY CLUSTER BASED ROUTING PROTOCOL." International Journal of Engineering Sciences & Emerging Technologies 1, no. 2 (2012): 77–82. http://dx.doi.org/10.7323/ijeset/v1_i2_9.

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V., Bharathi, Raja P., Meenabavyakarthika S., and Logisvary V. "Itinerary Aware Data Delivery Technique for Underwater Acoustic Sensor Networks." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 2 (2019): 593–97. https://doi.org/10.35940/ijeat.A1889.129219.

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Monitoring and maintaining aquatic environment is the universal need and Underwater Acoustic Sensor Networks (UASN) is an emerging technology plays a major role in acoustic data acquistion. The data acquisition is challenging issue in UASN due to its communication characteristics. Though, there are several geo-opportunistic routing protocols were explored to improve the data acquisition it can be still improved by enhanced routing technique. The existing Geo-graphical depth adjustment routing (GEDAR) uses Global Positioning System(GPS) based notes for improving data acquisition, however it consumes more energy and increases overhead. We make an attempt to study about efficient data acquisition process and its path reliability. The proposed Itinerary aware routing protocol(IARP) acquires neighboring node’s information for constructing efficient and reliable link with minimum information which improves data delivery ratio with minimum energy consumption. The proposed IARP increases 11% packet delivery ratio and reduces delay by 13%, and energy consumption by 9% comparing with existing GEDAR based algorithm. IARP also performs better than Depth based routing (DBR).
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Diao, Boyu, Yongjun Xu, Zhulin An, Fei Wang, and Chao Li. "Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/781932.

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Underwater Sensor Network (UWSN) is a representative three-dimensional wireless sensor network. Due to the unique characteristics of underwater acoustic communication, providing energy-efficient and low-latency routing protocols for UWSNs is challenging. Major challenges are water currents, limited resources, and long acoustic propagation delay. Network topology of UWSNs is dynamic and complex as sensors have always been moving with currents. Some proposed protocols adopt geographic routing to address this problem, but three-dimensional localization is hard to obtain in underwater environment. As depth-based routing protocol (DBR) uses depth information only which is much more easier to obtain, it is more practical for UWSNs. However, depth information is not enough to restrict packets to be forwarded within a particular area. Packets may be forwarded through multiple paths which might cause energy waste and increase end-to-end delay. In this paper, we introduce underwater time of arrival (ToA) ranging technique to address the problem above. To maintain all the original advantages of DBR, we make the following contributions: energy-efficient depth-based routing protocol that reduces redundancy energy cost in some blind zones; low-latency depth-based routing protocol that is able to deliver a packet through an optimal path. The proposed protocols are validated through extensive simulations.
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Patil, Kishor, Mohsin Jafri, Dieter Fiems, and Andrea Marin. "Stochastic modeling of depth based routing in underwater sensor networks." Ad Hoc Networks 89 (June 2019): 132–41. http://dx.doi.org/10.1016/j.adhoc.2019.03.009.

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Wang, Biao, Haobo Zhang, Yunan Zhu, Banggui Cai, and Xiaopeng Guo. "Adaptive Power-Controlled Depth-Based Routing Protocol for Underwater Wireless Sensor Networks." Journal of Marine Science and Engineering 11, no. 8 (2023): 1567. http://dx.doi.org/10.3390/jmse11081567.

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Low energy consumption has always been one of the core issues in the routing design of underwater sensor networks. Due to the high cost and difficulty of deployment and replacement of current underwater nodes, many underwater applications require the routing protocol design to consider the network lifetime extension problem. Based on this, we designed a new routing protocol that takes into account both low energy consumption and balanced energy consumption, and achieves effective extension of the network lifetime, called adaptive power-controlled depth-based routing protocol for underwater wireless sensor networks (APCDBRP). The protocol consists of two phases: (1) the route establishment phase and (2) the data transmission phase. In the route establishment phase, the initial path is established by the sink node broadcasting beacon packets at the maximum transmission power. The receiving nodes update their routing tables based on the beacon information and forward the beacon packets. In the data transmission phase, APCDBRP introduces a novel forwarding factor that considers both energy efficiency and energy balance. It selects the optimal next hop based on high energy efficiency and relatively abundant energy, thus extending the network’s lifetime. Additionally, APCDBRP proposes a new data protection and route reconstruction mechanism to address issues such as network topology changes due to node mobility and data transmission failures. Our simulation is based on AquaSim–Next Generation, which is a specialized tool built on the NS3 platform for researching underwater networks. Simulation results demonstrate that, compared to other typical routing protocols, APCDBRP exhibits superior performance in reducing network energy consumption and extending the network’s lifetime. It also achieves a high packet delivery rate with lower energy consumption.
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Lilhore, Umesh Kumar, Osamah Ibrahim Khalaf, Sarita Simaiya, et al. "A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks." International Journal of Distributed Sensor Networks 18, no. 9 (2022): 155013292211171. http://dx.doi.org/10.1177/15501329221117118.

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Underwater wireless sensor network attracted massive attention from researchers. In underwater wireless sensor network, many sensor nodes are distributed at different depths in the sea. Due to its complex nature, updating their location or adding new devices is pretty challenging. Due to the constraints on energy storage of underwater wireless sensor network end devices and the complexity of repairing or recharging the device underwater, this is highly significant to strengthen the energy performance of underwater wireless sensor network. An imbalance in power consumption can cause poor performance and a limited network lifetime. To overcome these issues, we propose a depth controlled with energy-balanced routing protocol, which will be able to adjust the depth of lower energy nodes and be able to swap the lower energy nodes with higher energy nodes to ensure consistent energy utilization. The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. The proposed model also utilized an enhanced back propagation neural network for data fusion operation, which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimum energy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission. In the proposed energy-efficient routing protocol, an enhanced cluster head node is used to select a strategy that can analyze the remaining energy and directions of each participating node. In the simulation, the proposed model achieves 86.7% packet delivery ratio, 12.6% energy consumption, and 10.5% packet drop ratio over existing depth-based routing and energy-efficient depth-based routing methods for underwater wireless sensor network.
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Natesan, Sathish Kumar, and Raja Kumar Krishnan. "Fuzzy Logic Depth Based Energy Aware Routing Protocol for Underwater Acoustic Sensor Network: FLDEAR." Journal of Information & Knowledge Management 20, Supp01 (2021): 2140002. http://dx.doi.org/10.1142/s0219649221400025.

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The Underwater Acoustic Sensor Network (UASN) plays a dynamic role in various application extents like surveillance, military, terrestrial networks and industrial application. In UASN, each Underwater Sensor Node (USN) is deployed in many places. The multiple paths are always used for transmitting data from USN to the Sink Node (SN). Each sensor constitutes a set of small devices and a small battery. If data is received from multiple nodes at the same time then, there is a chance for a collision and also it will bring down network lifetime. In recent years, only a few research works are done in fuzzy based routing in UASN. For increasing the network’s lifetime, there is always a need for an optimum routing path in UASN with improved parameters related to propagation delay, energy and throughput. The present paper proposes the Fuzzy Logic Depth based Energy-Aware Routing (FLDEAR) path in UASN. A static USN was utilized in the proposed system. Each USN is assigned a Priority Number (PN) by the SN. The PN is used for avoiding collision in the proposed model. The simulation is conducted employing Aqua-Sim (AS) which is based on Network Simulator-2(NS2). The simulation results illustrate that this system outperforms the existing routing protocol such as protocols of Energy Efficient Cooperative Opportunistic Routing (EECOR), Fuzzy Depth Based Routing (FDBR) and Depth Based Routing (DBR) in terms of improved parameters related to energy, propagation delay and throughput. Finally, the lifetime of UASN is improved by 70–80% by the implementation of the proposed FLDEAR protocol.
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Sher, Arshad, Nadeem Javaid, Irfan Azam, et al. "Monitoring square and circular fields with sensors using energy-efficient cluster-based routing for underwater wireless sensor networks." International Journal of Distributed Sensor Networks 13, no. 7 (2017): 155014771771718. http://dx.doi.org/10.1177/1550147717717189.

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In this article, to monitor the fields with square and circular geometries, three energy-efficient routing protocols are proposed for underwater wireless sensor networks. First one is sparsity-aware energy-efficient clustering, second one is circular sparsity-aware energy-efficient clustering, and the third one is circular depth–based sparsity-aware energy-efficient clustering routing protocol. All three protocols are proposed to minimize the energy consumption of sparse regions, whereas sparsity search algorithm is proposed to find sparse regions and density search algorithm is used to find dense regions of the network field. Moreover, clustering is performed in dense regions to minimize redundant transmissions of a data packet, while sink mobility is exploited to collect data from sensor nodes with an objective of minimum energy consumption. A depth threshold [Formula: see text] value is also used to minimize number of hops between source and destination for less energy consumption. Simulation results show that our schemes perform better than their counter-part schemes (depth-based routing and energy-efficient depth-based routing) in terms of energy efficiency.
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Shahid Rahim, Saqib, Sheeraz Ahmed, Fazle Hadi, Ayub Khan, M. Usman Akhtar, and Lailma Javed. "Depth-based Adaptive and Energy-aware (DAE) Routing Scheme for UWSNs." EAI Endorsed Transactions on Energy Web 5, no. 17 (2018): 154449. http://dx.doi.org/10.4108/eai.10-4-2018.154449.

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Dissertations / Theses on the topic "Depth based routing"

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Jafri, Muhammad Mohsin Raza <1988&gt. "Analysis and optimisations in depth-based routing for underwater sensor networks." Doctoral thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/15020.

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Underwater Sensor Networks (UWSNs) employ sensor nodes and acoustic communication to detect physical attributes of water such as temperature, pressure, etc. Research on UWSNs has emerged thanks to their wide spectrum of applications which includes the management of the oil reservoirs and the prevention of aqueous disasters, as well as military surveillance. The dynamic conditions of water, the energy constraints and the high error probability during data transmission are prominent challenges in the design of routing protocols in UWSNs. One of the main routing schemes is Depth-based routing (DBR) that performs a specialized anycast routing to the surface sinks, based along the depth measured from pressure sensors. In this thesis, we study and optimise some routing protocols for UWSNs, specifically those based on DBR. To this aim, we designed a novel simulator for studying DBR and its enhancements. Our simulator is based on AquaSim-NG and NS-3 (Network Simulator). With respect to the state of the art, we implemented the cross-layer communication required by DBR and an accurate representation of the operational modes of acoustic modems with the associated energy consumption. We developed some analytical models for UWSNs with the aim of a) identifying the optimal transmission range for sensor nodes given the state of the system, b) finding the optimal number of hops between the source and destination under various network settings, c) evaluating the role of the depth threshold in the definition of the routing scheme. In this work, a pivotal role is played by the energy consumption and expected lifetime of the network. Finally, based on our findings, we designed the Residual energy-Depth (RD) routing protocol which improves the network lifetime.
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Vukojevic, Bosko. "Depth first search and position based routing in ad hoc and sensor wireless networks." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27191.

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Finding a solution to the routing problem in wireless ad hoc and sensor networks has proven to be a quite difficult. A number of position-based localized algorithms have demonstrated important features like guaranteed delivery, scalability, robustness, and energy conservation, just to name a few. This thesis proposes DFS, Depth First Search, routing algorithm. It is the first position-based localized algorithm that guarantees the delivery for (connected) ad hoc wireless networks modeled by arbitrary graphs, including inaccurate location information for a destination node. The DFS routing scheme is extended in order to provide QoS (quality of service) routing for wireless ad hoc networks. The goal of the DFS QoS is to minimize hop count, which resemble propagation delay requirement. Another contribution of the thesis is the introduction of a new set of localized routing algorithms. The best DFS routing candidate is integrated with recently proposed modification of power and cost-aware solutions, so called progress-based power algorithms. (Abstract shortened by UMI.)
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Jackson, Russell Neilend. "An In-Depth Exploration of Clinical Patterns Within Spiritually Integrated Therapy." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8605.

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The last 3 decades have seen a dramatic increase in the creation and effective use of spiritually integrated therapy (SIT) for a wide variety of client populations and clinical issues. The outcome research on SIT has increased and improved dramatically, yet process research on SIT has lagged somewhat. While valuable, prior process-oriented studies on SIT have used retrospective survey methods and asked about generalized usage rates of predetermined spiritual interventions. Rather than relying on retrospective reports of SIT with clients, there is great value and likely greater accuracy in examining session-by-session usage of SIT with clients and identifying correlational patterns between clinical issues and spiritual interventions. The current study used a descriptive, practice-based evidence approach and analyzed session-by-session process data from a private practice explicitly marketed as offering SIT. After every therapy session, eight therapists at this site completed an in-depth process measure, the Clinically Adaptive Therapist Session Checklist, and reported which clinical issues they discussed and which spiritual interventions they used in session. Findings revealed that therapists discussed self-esteem, anxiety, depression, and religious/spiritual concerns in over half of their sessions. Therapists also endorsed affirming clients' divine worth, encouraged trusting God, encouraged clients to listen to their heart, and encouraged accepting God's love in over half of their sessions. The strongest positive correlations between spiritual interventions and clinical issues were between challenging shame and challenging fear, and emotional orientation (r = 0.664 and 0.648, respectively). The clinical patterns found in this analysis illustrate one way of incorporating spirituality into clinical work. This study highlights the importance of routine outcome/process monitoring systems to help illuminate the process of SIT and contribute to deliberate practice efforts in the field. This study also stimulated discussion on the distinction between SIT and being a spiritually centered therapist.
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張宇鎮. "Depth-Based Multipath Routing for Three Dimensional Underwater Sensor Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/17501983472022834407.

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碩士<br>國立臺灣師範大學<br>資訊工程研究所<br>99<br>In the last few years there has been are intensive study in routing protocols for terrestrial wireless sensor networks. Terrestrial wireless sensor networks have been used extensively in many land-based applications. Underwater Sensor Networks (UWSNs) have attracted a lot of attention recently. Since data packets in Underwater Sensor Networks are transmitted by acoustic signals, the characteristics of a Underwater Sensor Networks are different from those of a terrestrial wireless sensor networks. However, due to the different nature of the underwater environment and applications, there are drawbacks with respect to the suitability of the existing solutions for underwater acoustic networks. In this paper, we propose a N level binary tree protocol. Sinks are usually situated at the water surface. The based on the depth information of each sensor, N level binary tree forwards data packet towards the water surface. We make use of multipath data delivery. N level binary tree will limit the number of transmissions, it does not produce excessive transmission times and packet arrival rate is not too low. Acoustic communications vulnerable to damage in the water result in packet loss, land used solution is to use automatic repeat request (ARQ) techniques. In our simulations, N level binary tree does not use ARQ, we will work with a single path and use the ARQ Greedy short sink method to compare. The results indicate that, without the need for high packet arrival rate, N level binary tree can have a lower number of transmissions, the N level binary tree can save electricity sensor, increasing the network lifetime.
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Books on the topic "Depth based routing"

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Streib, Jessi, SaunJuhi Verma, Whitney Welsh, and Linda M. Burton. Life, Death, and Resurrections. Edited by David Brady and Linda M. Burton. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199914050.013.12.

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This article examines the culture of poverty thesis, focusing on its many lives, deaths, and reincarnations. It first considers the intellectual history of the culture of poverty thesis before discussing how the argument has been interspersed throughout U.S. history and applied to various groups. It then considers the argument’s scholarly reproduction, noting how it is underlain by a binary whereby segments of the poor, racial minorities, and immigrants are positioned as having a deviant, morally suspect culture that undermines their potential upward mobility, whereas white middle- and upper-class Americans are positioned as having a normal, morally upstanding culture that secures their class position. The article also describes four routine scholarly practices that engender a specter of support for the culture of poverty thesis. Finally, it argues that the culture of poverty should either be put to rest or allowed to live based on its own merits, and suggests ways to end its unintentional resurrection.
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Pellow, Deborah. Landlords and Lodgers. Greenwood Publishing Group, Inc., 2002. http://dx.doi.org/10.5040/9798400676444.

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Based on 25 years of research on and in Sabon Zongo, one of the oldest migrant communities in Accra, Ghana, this book is about the spatial and social production of this community within this urban setting. While Sabon Zongo is clearly part of the larger urban landscape of Accra, it is also culturally distinct, representing the melding of a migrant Hausa ethos, informed by Islam, its values and its institutions, and the metropolitan knowledge shared by all city dwellers. The author explores the interconnections of community residents to one another both in terms of built space—the boundaries of community, community structures, and compounds—and social space—the social networks, institutions, activities, and routines through which Sabon Zongo residents reproduce meaning as constituted by and in their built environment. There is no body of data similar to this study's both in breadth and depth of understanding relating to this particular urban community. Much of the material has never been published. Both theoretically and substantively, this book makes a unique contribution to the literature on African urban life. Written in a clear, open style, this book will appeal to specialists and interested general readers alike.
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Popowych, Krista. Partner Workouts. Human Kinetics, 2022. http://dx.doi.org/10.5040/9781718225411.

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“Encouragement, motivation, friendly competition, and accountability are just a few of the many benefits of working out with a partner. And there is no doubt that partner workouts produce results. But success requires more than just pairing up. You need the right partner, the best exercises, and proven programs to achieve and maintain your goals. You need Partner Workouts. Partner Workouts provides information that is in-depth, but practical, for getting the most out of your workouts. You’ll learn the various types of partner workouts, their benefits, and the important elements that go into each: – Identifying a suitable partner– Establishing realistic fitness goals– Selecting the most effective exercises– Modifying exercises for differences in partner fitness levels, strength, and size– Selecting the best workouts based on fitness goals, equipment, and schedule– Establishing a long-term routine to maintain the goals you’ve reached Partner Workouts features nearly 100 exercises and stretches, each accompanied by detailed color photos, step-by step instructions, equipment recommendations, partner positioning and movement tips, and suggestions for increasing or decreasing intensity. You will also find 15 ready-to-use workouts—including cardio, strength, bodyweight, and high-intensity interval training—that can be used as is or tailored to specific needs and goals. If you are ready to get more out of your workouts, look no further than Partner Workouts. You—and your partner—will be glad you did”
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Fedosov, Anton. Supporting the Design of Technology-Mediated Sharing Practices. Carl Grossmann, 2020. http://dx.doi.org/10.24921/2020.94115943.

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Online social networks have made sharing personal experiences with others mostly in form of photos and comments a common activity. The convergenceof social, mobile, cloud and wearable computing expanded the scope of usergeneratedand shared content on the net from personal media to individual preferencesto physiological details (e.g., in the form of daily workouts) to informationabout real-world possessions (e.g., apartments, cars). Once everydaythings become increasingly networked (i.e., the Internet of Things), future onlineservices and connected devices will only expand the set of things to share. Given that a new generation of sharing services is about to emerge, it is of crucialimportance to provide service designers with the right insights to adequatelysupport novel sharing practices. This work explores these practices within twoemergent sharing domains: (1) personal activity tracking and (2) sharing economyservices. The goal of this dissertation is to understand current practices ofsharing personal digital and physical possessions, and to uncover correspondingend-user needs and concerns across novel sharing practices, in order to map thedesign space to support emergent and future sharing needs. We address this goalby adopting two research strategies, one using a bottom-up approach, the otherfollowing a top-down approach.In the bottom-up approach, we examine in-depth novel sharing practices within two emergent sharing domains through a set of empirical qualitative studies.We offer a rich and descriptive account of peoples sharing routines and characterizethe specific role of interactive technologies that support or inhibit sharingin those domains. We then design, develop, and deploy several technology prototypesthat afford digital and physical sharing with the view to informing the design of future sharing services and tools within two domains, personal activitytracking and sharing economy services.In the top-down approach, drawing on scholarship in human-computer interaction (HCI) and interaction design, we systematically examine prior workon current technology-mediated sharing practices and identify a set of commonalitiesand differences among sharing digital and physical artifacts. Based uponthese findings, we further argue that many challenges and issues that are presentin digital online sharing are also highly relevant for the physical sharing in thecontext of the sharing economy, especially when the shared physical objects havedigital representations and are mediated by an online platform. To account forthese particularities, we develop and field-test an action-driven toolkit for designpractitioners to both support the creation of future sharing economy platformsand services, as well as to improve the user experience of existing services.This dissertation should be of particular interest to HCI and interaction designresearchers who are critically exploring technology-mediated sharing practicesthrough fieldwork studies, as well to design practitioners who are building and evaluating sharing economy services.
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Book chapters on the topic "Depth based routing"

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Yan, Hai, Zhijie Jerry Shi, and Jun-Hong Cui. "DBR: Depth-Based Routing for Underwater Sensor Networks." In NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79549-0_7.

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Kulla, Elis, Donald Elmazi, Keita Matsuo, and Leonard Barolli. "Energy-Aware Depth-Based Routing Protocol for Underwater Wireless Sensor Networks." In Advances in Networked-based Information Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40978-3_40.

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Rahim, Saqib Shahid, Sheeraz Ahmed, Nadeem Javaid, et al. "Scalability Analysis of Depth-Based Routing and Energy-Efficient Depth-Based Routing Protocols in Terms of Delay, Throughput, and Path Loss in Underwater Acoustic Sensor Networks." In Recent Trends and Advances in Wireless and IoT-enabled Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99966-1_16.

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Wahid, Abdul, Sungwon Lee, Hong-Jong Jeong, and Dongkyun Kim. "EEDBR: Energy-Efficient Depth-Based Routing Protocol for Underwater Wireless Sensor Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24267-0_27.

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Balsamo, Simonetta, Dieter Fiems, Mohsin Jafri, and Andrea Marin. "Analysis of Performance in Depth Based Routing for Underwater Wireless Sensor Networks." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91632-3_2.

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Vo, Cong-Minh, Huu-Dung Ngo, Cong-Hung Tran, and Khoa Tran Thi-Minh. "Routing Based on Channel, Distance, Depth, and Energy for Underwater Wireless Networks (UWSN) - RBCDDE." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75593-4_33.

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Mu, Jiasong, and Liang Han. "A Global Routing Algorithm Based on Physical Depth for Abnormal Data in Radar Sensor Networks." In Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49831-6_24.

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Neelavathy Pari, S., M. Sathish, and K. Arumugam. "An Energy-Efficient and Reliable Depth-Based Routing Protocol for Underwater Wireless Sensor Network (ER-DBR)." In Advances in Power Systems and Energy Management. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_45.

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Nguyen, Huy H., Junichi Yamagishi, and Isao Echizen. "Capsule-Forensics Networks for Deepfake Detection." In Handbook of Digital Face Manipulation and Detection. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_13.

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AbstractSeveral sophisticated convolutional neural network (CNN) architectures have been devised that have achieved impressive results in various domains. One downside of this success is the advent of attacks using deepfakes, a family of tools that enable anyone to use a personal computer to easily create fake videos of someone from a short video found online. Several detectors have been introduced to deal with such attacks. To achieve state-of-the-art performance, CNN-based detectors have usually been upgraded by increasing their depth and/or their width, adding more internal connections, or fusing several features or predicted probabilities from multiple CNNs. As a result, CNN-based detectors have become bigger, consume more memory and computation power, and require more training data. Moreover, there is concern about their generalizability to deal with unseen manipulation methods. In this chapter, we argue that our forensic-oriented capsule network overcomes these limitations and is more suitable than conventional CNNs to detect deepfakes. The superiority of our “Capsule-Forensics” network is due to the use of a pretrained feature extractor, statistical pooling layers, and a dynamic routing algorithm. This design enables the Capsule-Forensics network to outperform a CNN with a similar design and to be from 5 to 11 times smaller than a CNN with similar performance.
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Sénégas, Julien, Axel Saalbach, Martin Bergtholdt, Sascha Jockel, Detlef Mentrup, and Roman Fischbach. "Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00934-2_64.

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Conference papers on the topic "Depth based routing"

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Baete, Christophe, Henk Horstink, Charles Nicolson, Ferry van der Linden, and Erik Koolstra. "CP System for Trenchless CO2 Pipeline Crossing in Perforated HDPE Casing." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00045.

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Abstract Cathodic protection of a trenchless crossing is often challenging due to the depth of the horizontal directional drilled (HDD) pipeline, the various soil conditions along the trajectory and the technical limitations for installing anode ground beds. In this case study a pipeline is carrying carbon dioxide (CO2) captured from the petrochemical harbor of Rotterdam to a depleted offshore gas field in the North Sea. The HDD runs underneath the entrance of the harbor having a total span of 629 m (2063 ft). A perforated high-density polyethylene (HDPE) was pre-drilled for allowing curving of the carrier pipeline due to geotechnical obstructions along the routing. A cathodic protection system was designed based on computational modeling to insure that effective protection of the CO2 pipeline inside the HDPE casing is achieved. The cathodic protection system consists of a new impressed current system installed at the entry point of the HDD and an existing sacrificial anode system on the subsea pipeline connected to the gas field. Various scenarios were simulated to optimize the diameter and special arrangement of the holes in the HDPE, and the location of the anode ground bed for adequate protection while minimizing interference on third party pipelines and cables in the congested area.
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Liaqat, Tayyaba, Nadeem Javaid, Syed Muaraf Ali, Muhammad Imran, and Mohammed Alnuem. "Depth-Based Energy-Balanced Hybrid Routing Protocol for Underwater WSNs." In 2015 18th International Conference on Network-Based Information Systems (NBiS). IEEE, 2015. http://dx.doi.org/10.1109/nbis.2015.7.

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Jafri, Mohsin. "Adaptive Holding time and Depth-Based Routing for UWSN." In VALUETOOLS 2017: 11th EAI International Conference on Performance Evaluation Methodologies and Tools. ACM, 2017. http://dx.doi.org/10.1145/3150928.3150968.

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Khan, Tanveer, Israr Ahmad, Waqas Aman, et al. "Clustering Depth Based Routing for Underwater Wireless Sensor Networks." In 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2016. http://dx.doi.org/10.1109/aina.2016.168.

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Nasir, H., N. Javaid, H. Ashraf, et al. "CoDBR: Cooperative Depth Based Routing for Underwater Wireless Sensor Networks." In 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2014. http://dx.doi.org/10.1109/bwcca.2014.45.

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Liu Guangzhong and Li Zhibin. "Depth-Based Multi-hop Routing protocol for Underwater Sensor Network." In 2010 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icindma.2010.5538317.

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Gul, Safia, Sana Hoor Jokhio, and Imran Ali Jokhio. "Light-weight depth-based routing for underwater wireless sensor network." In 2018 International Conference on Advancements in Computational Sciences (ICACS). IEEE, 2018. http://dx.doi.org/10.1109/icacs.2018.8333483.

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Khizar, Malik, Abdul Wahid, Khayyam Pervaiz, et al. "Enhanced Energy Efficient Depth Based Routing Protocol for Underwater WSNs." In 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE, 2016. http://dx.doi.org/10.1109/imis.2016.141.

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Liaqat, Tayyaba, Nadeem Javaid, Syed Muaraf Ali, Muhammad Imran, and Mohammed Alnuem. "Depth-Based Energy-Balanced Hybrid Routing Protocol for Underwater WSNs." In 2015 International Conference on Intelligent Networking and Collaborative Systems (INCOS). IEEE, 2015. http://dx.doi.org/10.1109/incos.2015.94.

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Cheng, Yushuai, Lei Xie, and Huifang Chen. "FlDbOR: An Intelligent Depth-based Opportunistic Routing Protocol for UASNs." In 2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2023. http://dx.doi.org/10.1109/icspcc59353.2023.10400315.

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Reports on the topic "Depth based routing"

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Leavy, Michelle B., Costas Boussios, Robert L. Phillips, Jr., et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Final Report. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepcwhitepaperdepressionfinal.

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Objective. The objective of this project was to demonstrate the feasibility and value of collecting harmonized depression outcome measures in the patient registry and health system settings, displaying the outcome measures to clinicians to support individual patient care and population health management, and using the resulting measures data to support patient-centered outcomes research (PCOR). Methods. The harmonized depression outcome measures selected for this project were response, remission, recurrence, suicide ideation and behavior, adverse effects of treatment, and death from suicide. The measures were calculated in the PRIME Registry, sponsored by the American Board of Family Medicine, and PsychPRO, sponsored by the American Psychiatric Association, and displayed on the registry dashboards for the participating pilot sites. At the conclusion of the data collection period (March 2020-March 2021), registry data were analyzed to describe implementation of measurement-based care and outcomes in the primary care and behavioral health care settings. To calculate and display the measures in the health system setting, a Substitutable Medical Apps, Reusable Technology (SMART) on Fast Healthcare Interoperability Resource (FHIR) application was developed and deployed at Baystate Health. Finally a stakeholder panel was convened to develop a prioritized research agenda for PCOR in depression and to provide feedback on the development of a data use and governance toolkit. Results. Calculation of the harmonized outcome measures within the PRIME Registry and PsychPRO was feasible, but technical and operational barriers needed to be overcome to ensure that relevant data were available and that the measures were meaningful to clinicians. Analysis of the registry data demonstrated that the harmonized outcome measures can be used to support PCOR across care settings and data sources. In the health system setting, this project demonstrated that it is technically and operationally feasible to use an open-source app to calculate and display the outcome measures in the clinician’s workflow. Finally, this project produced tools and resources to support future implementations of harmonized measures and use of the resulting data for research, including a prioritized research agenda and data use and governance toolkit. Conclusion. Standardization of outcome measures across patient registries and routine clinical care is an important step toward creating robust, national-level data infrastructure that could serve as the foundation for learning health systems, quality improvement initiatives, and research. This project demonstrated that it is feasible to calculate the harmonized outcome measures for depression in two patient registries and a health system setting, display the results to clinicians to support individual patient management and population health, and use the outcome measures data to support research. This project also assessed the value and burden of capturing the measures in different care settings and created standards-based tools and other resources to support future implementations of harmonized outcome measures in depression and other clinical areas. The findings and lessons learned from this project should serve as a roadmap to guide future implementations of harmonized outcome measures in depression and other clinical areas.
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