Direction Based Node Placement in Wireless Sensor Network

Bendigeri, Kirankumar Y.; Mallapur, Jayashree D.; Kumbalavati, S. B.

doi:10.1109/icais50930.2021.9395999

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…There are open questions in research related to optimization problems in fog computing. Some studies address the issue of placing nodes in fog [ 60 , 61 , 62 ], and the literature explores the benefits of using MCDM methods [ 37 , 63 ]. It is important to emphasize that this type of procedure is not an easy task, as many architectures, protocols, devices, criteria, and approaches are involved in its selection.…”

Section: Case Studymentioning

confidence: 99%

Case Studies with the Contiki-NG Simulator to Design Strategies for Sensors’ Communication Optimization in an IoT-Fog Ecosystem

Ferreira

Azevedo

Estrella

et al. 2023

Sensors

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With the development of mobile communications and the Internet of Things (IoT), IoT devices have increased, allowing their application in numerous areas of Industry 4.0. Applications on IoT devices are time sensitive and require a low response time, making reducing latency in IoT networks an essential task. However, it needs to be emphasized that data production and consumption are interdependent, so when designing the implementation of a fog network, it is crucial to consider criteria other than latency. Defining the strategy to deploy these nodes based on different criteria and sub-criteria is a challenging optimization problem, as the amount of possibilities is immense. This work aims to simulate a hybrid network of sensors related to public transport in the city of São Carlos - SP using Contiki-NG to select the most suitable place to deploy an IoT sensor network. Performance tests were carried out on five analyzed scenarios, and we collected the transmitted data based on criteria corresponding to devices, applications, and network communication on which we applied Multiple Attribute Decision Making (MADM) algorithms to generate a multicriteria decision ranking. The results show that based on the TOPSIS and VIKOR decision-making algorithms, scenario four is the most viable among those analyzed. This approach makes it feasible to optimally select the best option among different possibilities.

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Section: Case Studymentioning

confidence: 99%

Case Studies with the Contiki-NG Simulator to Design Strategies for Sensors’ Communication Optimization in an IoT-Fog Ecosystem

Ferreira

Azevedo

Estrella

et al. 2023

Sensors

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“…Smart grid, integrated with widespread green energy (e.g., solar, wind, and thermal energy), represents a revolution for traditional power utilities, because it can exploit advanced information and communication technologies to facilitate the infrastructure to improve the efficiency, sustainability, and flexibility of power grids [1]. Smart grid communication, responsible for two-way, cybersecurity communication, and cutting-edge information technologies, has substantially enhanced the intelligence of current energy systems and has attracted huge attention from many researchers [2]. Human inspection, currently the main maintenance of transmission lines in a distributed power network, suffers from timeconsuming, exhausting, and inefficient inspection and is further likely to subject workers involved in power line repairs to serious hazards [3].…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Relay Node Placement in Wireless Sensor Networks for Surveillance of Overhead Transmission Lines

Wang

Yang

2022

Mathematical Problems in Engineering

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Wireless sensor networks provide a promising technology to surveil overhead transmission lines in smart grid communication. However, a great challenge for researchers is proposed by adverse outdoor environments and essential requirements of strong as well as flexible smart grid communication. Specifically, nearly linear topology, limited energy, and tolerance for faults are entangled to make the surveillance system complex. Because of the need for deep understanding of system, significant efforts have been made in the past few years. We have proposed a fault-tolerance framework for surveillance of overhead transmission lines. In this paper, we follow the framework and further explore deployment problems systematically. Firstly, we present a fault-tolerance placement model. After analyzing the model, we identify the optimal placement for fault tolerance and then propose a placement algorithm with optimal deployment. An extensive experiment highlights some useful observations for design of the fault-tolerance system and demonstrates efficient fault tolerance for relay nodes. Numerical results show that the fault-tolerance ratio is improved by at least 6 % compared to that of previous algorithms.

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Reinforcement-Learning based energy efficient optimized routing protocol for WSN

Keerthika

Hency

2022

Peer-to-Peer Netw. Appl.

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Direction Based Node Placement in Wireless Sensor Network

Cited by 4 publications

References 13 publications

Case Studies with the Contiki-NG Simulator to Design Strategies for Sensors’ Communication Optimization in an IoT-Fog Ecosystem

Case Studies with the Contiki-NG Simulator to Design Strategies for Sensors’ Communication Optimization in an IoT-Fog Ecosystem

Fault-Tolerant Relay Node Placement in Wireless Sensor Networks for Surveillance of Overhead Transmission Lines

Reinforcement-Learning based energy efficient optimized routing protocol for WSN

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