linear topology
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2021 ◽  
Vol 59 (2) ◽  
pp. 66-80
Author(s):  
Catherine Belling

Abstract The ambivalent attraction of feeling horror might explain some paradoxes regarding the consumption of representations of atrocities committed in the real world, in the past, on actual other people. How do horror fictions work in the transmission or exploitation of historical trauma? How might they function as prosthetic memories, at once disturbing and informative to readers who might otherwise not be exposed to those histories at all? What are the ethical implications of horror elicited by fictional representations of historical suffering? This article engages these questions through the reading of Mo Hayder’s 2004 novel The Devil of Nanking. Hayder exploits horror’s appeal and also—by foregrounding the acts of representation, reading, and spectatorship that generate this response—opens that process to critique. The novel may productively be understood as a work of posttraumatic fiction, both containing and exposing the concentric layers of our representational engagement with records of past atrocity. Through such a reading, a spherical rather than linear topology emerges for history itself, a structure of haunted and embodied consumption.


2021 ◽  
Vol 10 (3) ◽  
pp. 49
Author(s):  
Imad Jawhar ◽  
Sheng Zhang ◽  
Jie Wu ◽  
Nader Mohamed ◽  
Mohammad M. Masud

Continued advancements in microprocessors, electronics, and communication technology have led to the design and development of sensing devices with increased functionalities, smaller sizes, larger processing, storage, and communication capabilities, and decreased cost. A large number of these sensor nodes are used in many environmental, infrastructure, commercial, and military monitoring applications. Due to the linearity of a good number of the monitored structures such as oil, gas, and water pipelines, borders, rivers, and roads, the wireless sensor networks (WSNs) that are used to monitor them have a linear topology. This type of WSN is called a linear sensor network (LSN). In this paper, two distributed algorithms for topology discovery in thick LSNs are presented: the linear backbone discovery algorithm (LBD) and the linear backbone discovery algorithm with x backbone paths (LBDx). Both of them try to construct a linear backbone for efficient routing in LSNs. However, the LBD algorithm has the objective of minimizing the number of messages used during the backbone discovery process. On the other hand, the LBDx algorithm focuses on reducing the number of hops of the data messages transmitted from the nodes to the sink. LBD and LBDx exhibit good properties and efficient performance, which are confirmed by extensive simulations.


2021 ◽  
Author(s):  
Rohan Money ◽  
Joshin Krishnan ◽  
Baltasar Beferull-Lozano

2021 ◽  
Vol 71 (3) ◽  
pp. 631-648
Author(s):  
Redouane Sayyad

Abstract We introduce the notion of the fuzzy McShane integral in the linear topology sense and we discuse its relation with the fuzzy Pettis integral introduced recently by Chun-Kee Park in [On the Pettis integral of fuzzy mappings in Banach spaces, Commun. Korean Math. Soc. 22 (2007), 535–545].


2021 ◽  
pp. 100398
Author(s):  
Linh Vu Nguyen ◽  
Nguyen Viet Ha ◽  
Masahiro Shibata ◽  
Masato Tsuru

2021 ◽  
Vol 9 (17) ◽  
pp. 56-65
Author(s):  
Carlos Egas Acosta ◽  
Felipe Gil-Castiñeira ◽  
Enrique Costa-Montenegro

A particular case of wireless sensor networks are those that have a linear topology. These networks are used in monitoring large-scale linear infrastructures that are characterized by having thousands of sensor nodes, hundreds of hops and great lengths. The requirements for routing in linear topologies are minimal relative to the requirements of other topologies. There are currently several network architectures and routing protocols for wireless sensor networks, which have been created based on the application that will run on the nodes. Routing protocols designed for mesh, tree, and star topologies are very complex when applied to linear multi-hop topologies, resulting in large processing delays. This article defines the relevance of the existence of the network level in the network architecture with linear topology, for which the functions of the network protocols that are applicable to linear topologies are analyzed. Finally, it is justified that the network level is not necessary in wireless sensor networks with linear topology, and as a consequence, the network levels that the new network architecture should have are proposed.


2020 ◽  
Vol 10 (19) ◽  
pp. 6879
Author(s):  
Petr Musil ◽  
Petr Mlynek ◽  
Jan Slacik ◽  
Jiri Pokorny

Broadband over Power Lines (BPL) is considered a promising communication technology in the concept of Smart Grids. This paper evaluates networks based on BPL, with a focus on the impact of repeaters in the linear topology of distribution substations. In large-scale Smart Grids network planning, positions of repeaters have to be carefully chosen. This article should help to determine such positions and limitations of BPL linear topology networks. Laboratory and on-field measurements and their results are presented in this article. Results show the impact of repeater’s deployment for different testing methodologies also with regard to other already presented studies. Measured values and the determined impacts of repeaters are later used as input data for simulation of the linear BPL topology in terms of network throughput with multiple streams and bottlenecks. These occur especially on lines shared by multiple communicating nodes. Furthermore, the simulation investigates the balancing time of multiple data streams throughput. The simulation shows that the throughput balancing can occupy a significant time slot, up to tens of seconds before the throughput of different streams balances. Also, the more data is generated, the more time the balancing time takes. Additionally, the throughput drop caused by a repeater is determined into the range of 35–60%. Based on the measurement and simulation results, lessons learned are presented, and possible performance improvements are discussed.


2020 ◽  
pp. 91-102
Author(s):  
Musa Çıbuk

This study aims to make the wireless sensor network based on a linear topology required in road lighting energy-efficient using the proposed new methods. Because the physical installation of road lighting systems will result in costliness and time-labour loss, the mentioned scenarios were created and analysed in a simulation design. Two new methods were proposed to organize the lighting system more quickly and to increase the speed performance of sensors that join the network and carrying the luminaire data. This is the proxy-based network connection method and a new time-division method for the nodes’ common channel access. Energy consumption scenarios for lighting systems with 50, 100, 150, and 200 luminaires were analysed comparatively during data exchange using wireless sensor networks. Accordingly, the classical method and the proposed novel method were evaluated for the singleand multi-hop scenarios. In the communication between luminaires, the proposed new method for a single-hop scenario was at least 80 % more efficient than the classical method in terms of total energy consumption. In linear topology lighting systems for the same scenario, if the classical method is compared with the proposed new method for 3-hop structures, 58 % efficiency of total energy consumption is achieved.


A software defined network (SDN) is combined with centralized management by providing separation of the network, data and control planes. Different cloud computing environments, enterprise data centers and service providers are using this important feature. By implementing software defined data centers. Here in this paper we have used Mininet to demonstrate the applicability of SDN for different scalability. We study the performance of two SDN controllers – RYU and POX, that are implemented in Python using Mininet and D-ITG, Distributed Internet Traffic Generator. During this study we have used two network topologies, single and linear. The performance parameters used are maximum delay, average jitter, average bitrate. Experimental results demonstrated that the linear topology with RYU controller performs better as compared to single topology with POX controller for different network sizes


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