An Energy Efficient Clustering with Delay Reduction in Data Gathering (EE-CDRDG) Using Mobile Sensor Node

Sivakumar, B.; Sowmya, B.

doi:10.1007/s11277-016-3214-z

Cited by 11 publications

(9 citation statements)

References 23 publications

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“…In literature, a number of studies that adopted mobile sink for collecting data are mainly classified into two categories, including single mobile sink collecting data [ 11 , 12 , 13 , 14 , 15 ] and multiple mobile sinks collecting data [ 16 , 17 , 18 , 19 , 20 ]. The following briefly reviews these related works.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, a single mobile sink may not be sufficient for certain applications that require low latency in a large-scale WSN. There have also been several studies [ 16 , 17 , 18 , 19 , 20 ] that use multiple mobile sinks for data gathering in WSNs to reduce latency. The following reviews these studies.…”

Section: Related Workmentioning

confidence: 99%

“…Stefano et al [ 18 ] proposed an energy efficient clustering with delay reduction in data gathering scheme that focuses on energy efficient routing of data from sensor nodes to base station using multiple mobile sinks. This increased the network lifetime, throughput, and delivery rate.…”

Section: Related Workmentioning

confidence: 99%

“…To avoid the occurrence of this situation, some other studies [ 16 , 17 , 18 , 19 , 20 ] fall in the class of multiple mobile sinks. All sensor nodes were geographically divided into several clusters.…”

Section: Introductionmentioning

confidence: 99%

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Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks

Wen

Chang

Zhao

et al. 2018

Sensors

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Data collection problems have received much attention in recent years. Many data collection algorithms that constructed a path and adopted one or more mobile sinks to collect data along the paths have been proposed in wireless sensor networks (WSNs). However, the efficiency of the established paths still can be improved. This paper proposes a cooperative data collection algorithm (CDCA), which aims to prolong the network lifetime of the given WSNs. The CDCA initially partitions the n sensor nodes into k groups and assigns each mobile sink acting as the local mobile sink to collect data generated by the sensors of each group. Then the CDCA selects an appropriate set of data collection points in each group and establishes a separate path passing through all the data collection points in each group. Finally, a global path is constructed and the rendezvous time points and the speed of each mobile sink are arranged for collecting data from k local mobile sinks to the global mobile sink. Performance evaluations reveal that the proposed CDCA outperforms the related works in terms of rendezvous time, network lifetime, fairness index as well as efficiency index.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks

Wen

Chang

Zhao

et al. 2018

Sensors

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show abstract

“…It is not difficult to find that the protocols have been improved in the following aspects: (1) intra-cluster data transmission path [ 20 ], (2) inter-cluster data transmission path, (3) data transmission amount compression [ 21 ], (4) implementation of mobile BS or relay node [ 22 ], (5) data security consideration [ 23 ], (6) increase in the number of sink nodes [ 24 ], (7) CHs selection mechanism optimization [ 21 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy Consumption Optimization

Zhao

Hui

et al. 2018

Sensors

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To further prolong the lifetime of wireless sensor network (WSN), researchers from various countries have proposed many clustering routing protocols. However, the total network energy consumption of most protocols is not well minimized and balanced. To alleviate this problem, this paper proposes an energy-efficient clustering routing protocol in WSNs. To begin with, this paper introduces a new network structure model and combines the original energy consumption model to construct a new method to determine the optimal number of clusters for the total energy consumption minimization. Based on the balanced energy consumption, then we optimize the AGglomerative NESting (AGNES) algorithm, including: (1) introduction of distance variance, (2) the dual-cluster heads (D-CHs) division of the energy balance strategy, and (3) the node dormancy mechanism. In addition, the CHs priority function is constructed based on the residual energy and position of the node. Finally, we simulated this protocol in homogeneous networks (the initial energy = 0.4 J, 0.6 J and 0.8 J) and heterogeneous networks (the initial energy = 0.4–0.8 J). Simulation results show that our proposed protocol can reduce the network energy consumption decay rate, prolong the network lifetime, and improve the network throughput in the above two networks.

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TH-LEACH: Threshold Value and Heterogeneous Nodes-Based Energy-Efficient LEACH Protocol

Sarkar

Kar

2018

Smart Innovation, Systems and Technologies

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An Energy Efficient Clustering with Delay Reduction in Data Gathering (EE-CDRDG) Using Mobile Sensor Node

Cited by 11 publications

References 23 publications

Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks

Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks

An Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks Based on AGNES with Balanced Energy Consumption Optimization

TH-LEACH: Threshold Value and Heterogeneous Nodes-Based Energy-Efficient LEACH Protocol

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