Fundamentals of Wireless Sensor Networks

Dargie, Waltenegus; Poellabauer, Christian

doi:10.1002/9780470666388

Cited by 854 publications

(548 citation statements)

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“…Triangulation uses the geometric properties of triangles, laws of sine's and cosines to estimate location of sensor nodes [2].Specifically, this mechanism relies on the gathering of angle measurements. In two-dimensional space, at least two bearing lines and the locations of the anchor nodes or the distance between them are needed to determine the unknown node's position.…”

Section: Triangulationmentioning

confidence: 99%

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Range Free Localization Techniques for Randomly Deployed WSN-A Survey

Kaur¹,

Malhotra²

2012

IJGDC

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Section: Triangulationmentioning

confidence: 99%

“…Latest developments in MEMSs technology and wireless communication have further contributed in the use of large scale wirelessly connected tiny sensors in variety of application areas such as intrusion detection and identification, health, habitat and environment monitoring , military target tracking and surveillance [2].…”

Section: Introductionmentioning

confidence: 99%

Range Free Localization Techniques for Randomly Deployed WSN-A Survey

Kaur¹,

Malhotra²

2012

IJGDC

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“…environmental observation and many other applications in the areas health, military and security [32].…”

Section: IImentioning

confidence: 99%

Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges

Hubig

Züfle

Emrich

et al. 2012

Lecture Notes in Computer Science

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Abstract. Data measured in wireless sensor networks are inherently imprecise, due to a number of reasons, and aggregate queries are often used to analyze the collected data in order to alleviate the impact of such imprecision. In this paper we will deal with the imprecision in the measured values explicitly by employing a probabilistic approach and we focus on one particular type of aggregate query, namely the SUM query. We consider that sensors in the network may, operate (all collectively at the same time) in two different modes: (1) returning a finite set of discrete values with a probability attached to each value, or (2) a continuous probabilistic density function over a possibly infinite set of possible values. Our foremost concern is to present the first algorithms to efficiently compute the probabilistic SUM according to the possible world semantics, i.e., without any loss of information. Furthermore, we show how this query can be efficiently updated in dynamic environments where sensor values change often and we show techniques to distribute computation over all network nodes. Our experimental results show that processing queries in-network and incrementally as opposed to collecting the measured values from all nodes at the base station and computing the answer centrally, can reduce the total number of messages sent by at least 50%, thus saving energy and extending the network's lifetime, a chief concern regarding wireless sensor networks.

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“…An object which performs such sensing task is known as sensor. Sensors link the physical with the digital world by capturing and revealing real-world phenomena and converting these into a form that can be processed, stored, and actuated upon [11]. The field of WSN is an active area of research and development.…”

Section: Introductionmentioning

confidence: 99%

An Alternative Approach for Energy Efficient Time Synchronization in Wireless Sensor Networks

Kaushal¹,

Buttar²

2014

IOSRJEN

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-Time synchronization is an important aspect in Wireless Sensor Networks (WSN). They make wide use of synchronized time in many contexts like data fusion etc. Without synchronizing, the sensed data will lose valuable context. Existing time synchronization methods cannot be used with such wireless networks as at the time of their designing such networks were not foreseen. So either present synchronization techniques need to be extended to WSN or are to be approached in different way. While designing synchronizing algorithm, requirements of energy, cost, scope, scalability, lifetime of WSN should be kept in mind. In this paper different approach for time synchronization in sensor networks is presented. This paper proposes an improved algorithm used for WSN in fixed deployment scenario of nodes. The Proposed algorithm is compared with ReferenceBroadcast Synchronization (RBS) synchronization technique. Simulation results and Performance analysis shows that compared with RBS synchronization algorithms, the proposed time synchronization algorithm takes shorter time for synchronizing whole network and is more energy efficient.

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Fundamentals of Wireless Sensor Networks

Cited by 854 publications

References 0 publications

Range Free Localization Techniques for Randomly Deployed WSN-A Survey

Range Free Localization Techniques for Randomly Deployed WSN-A Survey

Continuous Probabilistic Sum Queries in Wireless Sensor Networks with Ranges

An Alternative Approach for Energy Efficient Time Synchronization in Wireless Sensor Networks

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