Simple Clustering for Wireless Sensor Networks

Rathna, R.

doi:10.1515/cait-2016-0004

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…All the measured information is gathered by a node namely the sink node and this node helps to predict the exact position of the desired node based on the RSS measurements. Then, the computation of RSS measurements from sensor nodes in a highly uncertain WSN environment is given by (1),…”

Section: System Modelmentioning

confidence: 99%

“…Wireless sensor networks (WSNs) are a collection of a large number of sensor nodes that can communicate with each other in varied environmental conditions through wireless channels [1], [2] to measure physical changes. The distributed sensor nodes gather data related to their adjacent activities and events and share gathered information with the other nodes to the base station through cluster head (CH) node for further processing [3].…”

Section: Introductionmentioning

confidence: 99%

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High uncertainty aware localization and error optimization of mobile nodes for wireless sensor networks

Nandyala¹,

Gandhi²

2023

IJ-AI

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<p>The localization of mobile sensor nodes in a wireless sensor network (WSN) is a key research area for the speedy development of wireless communication and microelectronics. The localization of mobile sensor nodes massively depends upon the received signal strength (RSS). Recently, the least squared relative error (LSRE) measurements are optimized using traditional semidefinite programming (SDP) and the location of the mobile sensor nodes was determined using the previous localization methods like least squared relative error and semidefinite programming (LSRE-SDP), and approximate nonlinear least squares and semidefinite programming (ANLS-SDP). Therefore, in this work, a novel high uncertainty aware-localization error correction and optimization (HUA-LECO) model is employed to minimize the aforementioned problems regarding the localization of mobile sensor nodes and enhance the performance efficiency of root mean square error (RMSE) results. Here, the position of target mobile sensor nodes is evaluated based on the gathered measurements while discarding faulty data. Here, an iterative weight updation approach is utilized to perform localization based on Monte Carlo simulations. Simulation results show significant improvement in terms of RMSE results in comparison with traditional LSRE-SDP and ANLS-SDP methods under high uncertainty.</p>

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High uncertainty aware localization and error optimization of mobile nodes for wireless sensor networks

Nandyala¹,

Gandhi²

2023

IJ-AI

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“…During the testing, procedures that favour low energy consumption, low transmission costs, and reduced load balancing have been evaluated. R a t h n a [28] examines that we need to do a thorough examination to categorise the protocols according to our requirements. B o, W a n g and Z h a n g [30] uses Geographic and Energy Conscious Routing (GEAR), a routing algorithm that promises to optimize the energy efficiency by including input and output regions, network density for disrupted communications, and energy cost.…”

Section: Energy Efficient Clustering Protocolsmentioning

confidence: 99%

An Insight on Clustering Protocols in Wireless Sensor Networks

Raju¹,

Lochanambal²

2022

Cybernetics and Information Technologies

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Wireless Sensor Networks (WSN) have drawn the attention of many researchers as well as general users in recent years. Since WSN has a wide range of applications, including environmental monitoring, medical applications, and surveillance, their usage is not limited. As energy is a major constraint in WSN, it is necessary to employ techniques that reduce energy consumption in order to extend the network’s lifetime. Clustering, data aggregation, duty cycling, load balancing, and efficient routing are some of the techniques used to reduce energy consumption. In this paper, we discuss in details about clustering, its properties, the existing clustering protocols. The clustering protocols that support data aggregation will also be discussed. The paper concludes with considering the impact of clustering and data aggregation in WSN.

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“…J i a n g, Y u a n and Z h a o [8] use FLOC (Fast LOcal Clustering), which creates clusters of similar size with nodes that do not overlap during cluster creation. When we consider protocols that can encourage low energy consumption, reduce transmission costs, and balance the load, R a t h n a [9] examine that we need to perform a broad review to categorize the protocols according to our requirements. X u x u n L i u [10] use DWEHC (Distributed Weight-based protocol for Energyefficient Hierarchical Clustering), which generates balanced clusters with no overlaps and distributes them in the network using the Weight dependent Protocol.…”

Section: Clustering and Routing Protocolsmentioning

confidence: 99%

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

Munusamy¹,

Vijayan²,

Ezhilarasi³

2021

Cybernetics and Information Technologies

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Wireless networks play an important role in science, including medicine, agriculture, the military, geography, and so on. The main issue with a network of wireless sensors is how to manage resource utilization to extend its lifetime. This paper investigates the various aspects of increased energy usage that may improve network life. Variables related to energy consumption and various performance metrics are investigated in terms of energy efficiency. To investigate how the network’s energy usage can be managed, a quick overview of clustering protocols, routing protocols, MAC protocols, and load balancing protocols is conducted. This paper can provide researchers with an idea of the various parameters that influence energy consumption and what methodologies could be adapted by each parameter to conserve energy, thereby extending the network’s lifetime.

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Simple Clustering for Wireless Sensor Networks

Cited by 6 publications

References 22 publications

High uncertainty aware localization and error optimization of mobile nodes for wireless sensor networks

High uncertainty aware localization and error optimization of mobile nodes for wireless sensor networks

An Insight on Clustering Protocols in Wireless Sensor Networks

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective

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