Simulation an art of performance evaluation in wireless sensor networks

Dattatraya, Patil Yogita; Agarkhed, Jayashree

doi:10.1109/iccpct.2016.7530235

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The performance of MDCSR has been evaluated using an event-driven simulate, NS2 simulator [29], considering the following QoS metrics [30].…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

Multi Duty Cycle Scheduled Routing in Wireless Sensor Network-lifetime Maximization

Dattatraya¹,

Agarkhed²,

Patil³

2021

IJCNIS

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Cluster-based protocols are best for applications that require reliability and a continuous functioning environment with a sustainable lifetime of WSN. The dynamic nature of the sensor node makes energy conservation a challenging issue. Sensor node scheduled based on sensing error for energy conservation compromise the accuracy of prediction. The high data accuracy achieved using a single duty cycle controller at each node with compromised throughput and increased routing overhead. Duty Cycle Controller managing a great number of control messages at the network level leads to control packet interference with data packet transmission, increasing packet drop and minimizing throughput. Also, the single-duty cycle controller at the network level leads to increased control overhead. The proposed multilevel cluster-based approach focuses on the appropriate cluster design, selection of cluster head, and sensor nodes scheduling based on sensing error. The proposed method applies a multi-duty cycle controller at each cluster level, and control messages handled are related to nodes in a cluster. Thus has less interference and packet drop leading to maximum throughput than existing methods. The simulation results demonstrated that the proposed method with sensor nodes scheduled at individual cluster levels using a multi-duty cycle controller exhibited improved network lifetime, throughput, and reduced energy consumption compared with the state-of-the-art techniques.

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“…The performance of MDCSR has been evaluated using an event-driven simulate, NS2 simulator [29], considering the following QoS metrics [30].…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

Multi Duty Cycle Scheduled Routing in Wireless Sensor Network-lifetime Maximization

Dattatraya¹,

Agarkhed²,

Patil³

2021

IJCNIS

Self Cite

View full text Add to dashboard Cite

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“…Moreover, most measures are not reproducible and take significant time and effort. In addition, the findings of testbed experiments are significantly impacted by the testing environment, which is sometimes quite unpredictable and difficult to manage [14]. However, WSN testbeds are still necessary for further testing before the final implementation, particularly for applications intended to be used in enclosed spaces.…”

Section: Introductionmentioning

confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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A Study of Wireless Sensor Networks to Comprehend their Relevance to Diﬀerent Applications

Agarkhed¹,

Dattatraya²,

Patil³

2020

JTIT

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Wireless sensor networks (WSNs) have experienced enormous growth, both in terms of the technology used and their practical applications. In order to understand the features of WSNs that make the solution suitable for a speciﬁc purpose, one needs to be aware of the theoretical concepts behind and technological aspects of WSNs. In this paper, the signiﬁcance of WSNs is illustrated, with a particular emphasis placed on their demands and on understanding researchrelated problems. A review of the literature available is presented as well. Detailed discussions concerning sensor node architecture, diﬀerent types of sensors used and their relevance for various types of WSNs is presented, highlighting the need to achieve application-speciﬁc requirements without degrading service quality. Multipath and cluster-based routing protocols are compared in order to analyze QoS requirements they are capable of satisfying, and their suitability for diﬀerent application areas is reviewed. This survey highlights the performance of diﬀerent routing protocols, therefore providing guidelines enabling each of the routing techniques to be used, in an eﬃcient manner, with factors such as speciﬁc network structure, protocol operation and routing path construction taken into consideration in order to achieve better performance.

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Simulation an art of performance evaluation in wireless sensor networks

Cited by 3 publications

References 7 publications

Multi Duty Cycle Scheduled Routing in Wireless Sensor Network-lifetime Maximization

Multi Duty Cycle Scheduled Routing in Wireless Sensor Network-lifetime Maximization

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

A Study of Wireless Sensor Networks to Comprehend their Relevance to Diﬀerent Applications

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