Data Aggregation Techniques in WSN:Survey

Dhand, Geetika; Tyagi, S. S.

doi:10.1016/j.procs.2016.07.393

Cited by 104 publications

(37 citation statements)

References 21 publications

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“…Hence, passing out redundant data decreases the volume of data transmitted along with the energy expenditure and the latency associated. This is why there is need for novel data aggregation schemes [166][167][168]. Likewise, the use of compression and restoration schemes provides substantial reduction of communication load [169][170][171].…”

Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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Wireless Sensor Networks (WSNs) are among the most emerging technologies, thanks to their great capabilities and their ever growing range of applications. However, the lifetime of WSNs is extremely restricted due to the delimited energy capacity of their sensor nodes. This is why energy conservation is considered as the most important research concern for WSNs. Radio communication is the utmost energy consuming function in a WSN. Thus, energy efficient routing is necessitated to save energy and thus prolong the lifetime of WSNs. For this reason, numerous protocols for energy efficient routing in WSNs have been proposed. This article offers an analytical and up to date survey on the protocols of this kind. The classic and modern protocols presented are categorized, depending on i) how the network is structured, ii) how data are exchanged, iii) whether location information is or not used, and iv) whether Quality of Service (QoS) or multiple paths are or not supported. In each distinct category, protocols are both described and compared in terms of specific performance metrics, while their advantages and disadvantages are discussed. Finally, the study findings are discussed, concluding remarks are drawn, and open research issues are indicated.

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Section: Open Research Issuesmentioning

confidence: 99%

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

2020

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“…Nessa abordagem, os nós definidos como agregadores são responsáveis por coletar os dados de diferentes sensores e enviálos de uma só vez, ao invés de simplesmente retransmiti-los. A consequência do uso desta técnicaé a redução no número de pacotes transmitidos para a rede, bem como, maior economia de energia [Dhand and Tyagi 2016].…”

Section: Fundamentos E Trabalhos Relacionadosunclassified

Redução de Dados em Redes de Sensores sem Fio Baseada em Análise de Dispersão

Oliveira

Kniess

2019

Anais Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2019)

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Nas aplicações de monitoramento com Redes de Sensores sem Fio (RSSF), os nós sensores dependem de fontes de energia limitada. Estudos apontam que a principal fonte de consumo de energia em nós sensores está relacionada à transmissão de dados. Neste artigo, apresenta-se uma abordagem para redução de dados baseada na análise da dispersão dos valores detectados pelos sensores, visando evitar o envio de detecções cujos valores sejam pouco dispersos. Os experimentos realizados com o simulador Castalia mostraram que a abordagem proposta atingiu uma redução maior que 96%, mantendo um baixo nível de erros na reconstrução dos dados no destino final.

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“…The flexibility and adaptability of WSN rapidly capture a wide range of applications including business, industry, healthcare, and security. The continuous evolution of WSN, makes it compatible with traditional network architectures, interoperation ability, and compatibility [1]. Every technology, in its early age, possesses some holes and leaks that are identified with the passage of time.…”

Section: Introductionmentioning

confidence: 99%

Mobile Data Collector Routing Protocol Scheme for Scalable Dense Wireless Sensor Network to Optimize Node’s Life

Siddiqui¹,

Khan²,

Saeed³

et al. 2018

ijacsa

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Wireless Sensor Networks (WSN) is a special kind of network communication architecture which has a very wide range of application and the cost-effectiveness of this architecture boosts its adaptability and usability. The erratic use of WSN, its rapid advancement has encouraged the research community to report several standing problems with WSN, among them is the concern of network life and node energy management in a dense network. This paper presents the experimental outcomes of using MDC multi-tier approach in dense network environments. Besides the node density, experiments also consider the interagricultural field hurdles that cause communication disturbance among the nodes that exist in ground level, or at some height above the farming field. The simulated experiment shows the noteworthy results, which comparatively enhance the network lifetime, efficiently utilizing individual node energy, and maximizing the content delivery.

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Data Aggregation Techniques in WSN:Survey

Cited by 104 publications

References 21 publications

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Energy Efficient Routing in Wireless Sensor Networks: A Comprehensive Survey

Redução de Dados em Redes de Sensores sem Fio Baseada em Análise de Dispersão

Mobile Data Collector Routing Protocol Scheme for Scalable Dense Wireless Sensor Network to Optimize Node’s Life

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