IGBDD: Intelligent Grid Based Data Dissemination Protocol for Mobile Sink in Wireless Sensor Networks

Majma, Mohammad Reza; Pedram, Hossein; Dehghan, Mehdi

doi:10.1007/s11277-014-1778-z

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…CH can switch the member nodes to low power or sleep mode to reduce the energy consumption. Due to all of the above-discussed objectives, grid-based clustering techniques are widely used by researchers to achieve energy efficiency and prolong network lifetime [11,[25][26][27][28][29]57]. Some of the existing grid-based approaches proposed in the literature are discussed with advantages and disadvantages, which are below.…”

Section: Grid-based Approachesmentioning

confidence: 99%

“…Every node works in two modes, high power radio (high range transmission) and low power radio (low range transmission). In intelligent grid-based data dissemination (IGBDD) [57] network is partitioned into virtual grids. It is the enhanced version of GBDD in which CH selection is based on the location of the virtual cross point (CP) and there is no need to send any data to the neighbouring nodes for CP selection.…”

Section: Grid-based Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

Jan

Farman

Javed

et al. 2017

Wireless Communications and Mobile Computing

131

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Wireless sensor networks (WSN) are one of the significant technologies due to their diverse applications such as health care monitoring, smart phones, military, disaster management, and other surveillance systems. Sensor nodes are usually deployed in large number that work independently in unattended harsh environments. Due to constraint resources, typically the scarce battery power, these wireless nodes are grouped into clusters for energy efficient communication. In clustering hierarchical schemes have achieved great interest for minimizing energy consumption. Hierarchical schemes are generally categorized as cluster-based and grid-based approaches. In cluster-based approaches, nodes are grouped into clusters, where a resourceful sensor node is nominated as a cluster head (CH) while in grid-based approach the network is divided into confined virtual grids usually performed by the base station. This paper highlights and discusses the design challenges for cluster-based schemes, the important cluster formation parameters, and classification of hierarchical clustering protocols. Moreover, existing cluster-based and grid-based techniques are evaluated by considering certain parameters to help users in selecting appropriate technique. Furthermore, a detailed summary of these protocols is presented with their advantages, disadvantages, and applicability in particular cases.

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Section: Grid-based Approachesmentioning

confidence: 99%

Section: Grid-based Approachesmentioning

confidence: 99%

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

Jan

Farman

Javed

et al. 2017

Wireless Communications and Mobile Computing

131

View full text Add to dashboard Cite

show abstract

“…As flat architectures and flooding-based protocols lack of scalability, virtual infrastructure based algorithms are proposed later as an efficient strategy for data collection [21,23,24,[30][31][32]. Virtual infrastructure acts as a rendezvous area for storing and retrieving the collected measurements.…”

Section: Virtual Infrastructure-based Algorithmsmentioning

confidence: 99%

A Memory Sharing based Low Loss Rate Data Gathering Algorithm with a Mobile Sink for Wireless Sensor and Actuator Networks

Zhu

Han

Wang

et al. 2016

Asian Journal of Control

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This paper exploits memory sharing among nodes and a proactively upload method to avoid data loss and improve the energy efficiency of network. A memory sharing low loss rate data gathering algorithm MSDGA is proposed. Based on K‐hop spanning tree topology, MSDGA combines locally passive uploading and globally proactive uploading. On one hand, local data collection mode shortens the length of data routing, therefore the energy consumption of nodes is decreased and the network lifetime is prolonged. On the other hand, the whole network proactive transmission mode reduces the memory overflow ratio and packet loss ratio caused by beyond the validity period, which earns higher packets delivery ratio and acceptable data transmission delay. Extensive simulations show that compared with other algorithms, MSDGA has longer network lifetime, higher packets delivery ratio and acceptable data transmission delay.

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HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks

2019

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IGBDD: Intelligent Grid Based Data Dissemination Protocol for Mobile Sink in Wireless Sensor Networks

Cited by 7 publications

References 19 publications

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

Energy Efficient Hierarchical Clustering Approaches in Wireless Sensor Networks: A Survey

A Memory Sharing based Low Loss Rate Data Gathering Algorithm with a Mobile Sink for Wireless Sensor and Actuator Networks

HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks

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