Event-based clustering for composite event detection in wireless sensors networks

Suescún, Catalina Aranzazu; Cardei, Mihaela

doi:10.1109/pccc.2016.7820620

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…Energy-efficient composite event detection is intended to improve energy efficiency while handling massive amounts of data [64,65]. Until recently, the majority of current techniques had been applied to composite event identification [66,67], consuming a significant amount of energy. The effectiveness of WSNs can be measured using a variety of criteria [68].…”

Section: Lifetime Metric and Energy Efficiency In Wsnmentioning

confidence: 99%

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A Systematic Review on the Energy Efficiency of Dynamic Clustering in a Heterogeneous Environment of Wireless Sensor Networks (WSNs)

2022

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There are a variety of applications for wireless sensor networks (WSNs), such as military, health monitoring systems, natural disasters, smartphones, and other surveillance systems. While the primary purpose of sensor nodes is to collect unattended data in hostile environments, many are placed in large numbers and operate independently. Due to limited capabilities, power is often limited. Therefore, these nodes are grouped into clusters to increase communication efficiency. In WSNs, two different routing protocols are possible: apartment and hierarchical or clustering protocols. Due to their significant role in minimizing energy consumption, hierarchical methods have become very popular in clustering. In cluster-based methods, nodes are organized into clusters, and the sensor node with the most resources is appointed as the cluster head (CH). In this paper, we present a Systematic Literature Review (SLR) explaining the difficulties in developing cluster-based methods, critical factors for clustering, and hierarchical clustering protocols. The most important factor of a routing protocol for WSN is the energy consumption and lifetime of a network. Focusing on energy consumption, different cluster-based methods were analyzed to determine which technology should be deployed by analyzing specific criteria to support the selection process. Additionally, the pros and cons of different protocols are listed with their relevance in specific scenarios. To identify these protocols, a systematic literature review was conducted using research studies published from 2010 to 2021, with 30 papers analyzed in the final phase. Based on the results of this SLR, several issues need to be further investigated with respect to the interaction of the potential technology with the Internet of Things (IoT) and Vehicular Ad-Hoc Networks (VANETs).

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Section: Lifetime Metric and Energy Efficiency In Wsnmentioning

confidence: 99%

“…The effectiveness of WSNs can be measured using a variety of criteria [68]. Connectivity, SN deployment type, latency, network area lifetime, scalability, packet delivery ratio, reliability, energy conservation, and energy utilization cost are some of the parameters that could be configured [66].…”

Section: Lifetime Metric and Energy Efficiency In Wsnmentioning

confidence: 99%

A Systematic Review on the Energy Efficiency of Dynamic Clustering in a Heterogeneous Environment of Wireless Sensor Networks (WSNs)

2022

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“…In Ref. [22], the authors proposed a Cluster-based Energy efficient Composite event detection (CEC) protocol. Any existing mechanism can be used for forming the clusters.…”

Section: Previous Studiesmentioning

confidence: 99%

Forest Fire Prevention Using WSN Assisted IOT

Vimal¹,

Nigam²

2018

IJET

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Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.

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Data Gathering in Wireless Sensor Networks

Aranzazu-Suescun

Cardei

2018

Encyclopedia of Wireless Networks

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Event-based clustering for composite event detection in wireless sensors networks

Cited by 10 publications

References 9 publications

A Systematic Review on the Energy Efficiency of Dynamic Clustering in a Heterogeneous Environment of Wireless Sensor Networks (WSNs)

A Systematic Review on the Energy Efficiency of Dynamic Clustering in a Heterogeneous Environment of Wireless Sensor Networks (WSNs)

Forest Fire Prevention Using WSN Assisted IOT

Data Gathering in Wireless Sensor Networks

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