Energy-Efficient Fire Monitoring over Cluster-Based Wireless Sensor Networks

Ha, Young-Guk; Kim, Heemin; Byun, Yung-Cheol

doi:10.1155/2012/460754

Cited by 18 publications

(11 citation statements)

References 14 publications

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“…The use of triangulation methods for indoor environments is very problematic because they use the RSS; the drawback [11] of using the RSS has been described in Introduction. Thus, to avoid these problems, other methods should be used.…”

Section: Well-known Localization Methodsmentioning

confidence: 99%

Efficient Sensor Localization Method with Classifying Environmental Sensor Data

Eun

2012

International Journal of Distributed Sensor Networks

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Sensor location estimation is important for many location-based systems in ubiquitous environments. Sensor location is usually determined using a global positioning system. For indoor localization, methods that use the received signal strength (RSS) of wireless sensors are used instead of a global positioning system because of the lack of availability of a global positioning system for indoor environments. However, there is a problem in determining sensor locations from the RSS: radio signal interference occurs because of the presence of indoor obstacles. To avoid this problem, we propose a novel localization method that uses environmental data recorded at each sensor location and a data classification technique to identify the location of sensor nodes. In this study, we used a wireless sensor node to collect data on various environmental parameters-temperature, humidity, sound, and light. We then extracted some features from the collected data and trained the location data classifier to identify the location of the wireless sensor node.

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Section: Well-known Localization Methodsmentioning

confidence: 99%

Efficient Sensor Localization Method with Classifying Environmental Sensor Data

Eun

2012

International Journal of Distributed Sensor Networks

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“…Furthermore, historical datasets were used to detect the possibility of a fire in remote geographical areas of Swaziland. Ha et al [11] developed a simulation model for monitoring the possible outbreak of a wildfire. They designed an efficient cluster-based hierarchical protocol to reduce the overall energy consumption of sensor nodes.…”

Section: Saturday 7th February 2009mentioning

confidence: 99%

“…Ha et al [11] proposed Energyefficient Fire Monitoring Protocol (EFMP), which operates in three states namely, watch, slave and master. In a watch state, the nodes observe the detection of a possible wildfire.…”

Section: Related Workmentioning

confidence: 99%

A Sybil attack detection scheme for a forest wildfire monitoring application

Jan

Nanda

et al. 2018

Future Generation Computer Systems

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Wireless Sensor Networks (WSNs) have experienced phenomenal growth over the past decade. They are typically deployed in human-inaccessible terrains to monitor and collect time-critical and delay-sensitive events. There have been several studies on the use of WSN in different applications. All such studies have mainly focused on Quality of Service (QoS) parameters such as delay, loss, jitter etc. of the sensed data. Security provisioning is also an important and challenging task lacking in all previous studies. In this paper, we propose a Sybil attack detection scheme for a cluster-based hierarchical network mainly deployed to monitor forest wildfire. We propose a two-tier detection scheme. Initially, Sybil nodes and their forged identities are detected by high-energy nodes. However, if one or more identities of a Sybil node sneak through the detection process, they are ultimately detected by the two base stations. After Sybil attack detection, an optimal percentage of cluster heads are elected and each one is informed using nomination packets. Each nomination packet contains the identity of an elected cluster head and an end user's specific query for data collection within a cluster. These queries are user-centric, on-demand and adaptive to an end user requirement. The undetected identities of Sybil nodes reside in one or more clusters. Their goal is to transmit high false-negative alerts to an end user for diverting attention to those geographical regions which are less vulnerable to * Corresponding author Email addresses: Priyadarsi.Nanda@uts.edu.au (Priyadarsi Nanda), Xiangjian.He@uts.edu.au (Xiangjian He) Preprint submitted to ElsevierMay 24, 2016 a wildfire. Our proposed approach has better network lifetime due to efficient sleep-awake scheduling, higher detection rate and low false-negative rate.

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“…Because of such hardware limitations, most research work on WSN has been aimed at optimizing network communication and on-board computation, especially with respect to energy consumption [7][8][9]. Due to such optimizations, WSN systems are usually aimed at and customized for specific application domains or technologies [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

CSN: The Conceptually Manageable Sensor Network

Joe

Lee

Jeong

2015

International Journal of Distributed Sensor Networks

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For the last decade, computer science and information technology have been rapidly expanding their application areas from computation and data processing inside computers to the real time monitoring and management of the real world outside computers. For those emerging applications such as Internet of Things, the flexible, scalable, and interoperable, collaborating sensor networks are crucial. In this paper, we present a sensor network system called the conceptually manageable sensor network (CSN). CSN is intended to support the conceptual management and integration of sensor networks and to provide well-defined and logical APIs for the facilitation of application development. The CSN design is based on the simple and intuitive conceptual model: sets and message queues. In order to minimize the system development efforts and to inherit the system quality of production level open source software, the CSN system is intentionally implemented as a set of extensions to the open source messaging system called ActiveMQ. We conducted some preliminary usability and performance tests for the current CSN implementation. For the usability test, we used data sets from a real world project for the energy-efficient management of Indoor Air Quality in subway stations. Both usability and performance tests showed promising results.

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Energy-Efficient Fire Monitoring over Cluster-Based Wireless Sensor Networks

Cited by 18 publications

References 14 publications

Efficient Sensor Localization Method with Classifying Environmental Sensor Data

Efficient Sensor Localization Method with Classifying Environmental Sensor Data

A Sybil attack detection scheme for a forest wildfire monitoring application

CSN: The Conceptually Manageable Sensor Network

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