A Cluster-based and Tree-based Power Efficient Data Collection and Aggregation Protocol for Wireless Sensor Networks

Wang, Wei; Wang, Bingwen; Liu, Zhuo; Guo, Liang; Xiong, Wei

doi:10.3923/itj.2011.557.564

Cited by 42 publications

(26 citation statements)

References 6 publications

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“…If CH0 is failed, the network also failed. When the base station is too far, this method is not useful [17].…”

Section: Previous Workmentioning

confidence: 99%

“…In this research, we also analyse other methods, including Low Energy Adaptive Clustering Hierarchy (LEACH) [14], Tree Dara Aggregation (CTDA) [16], Modified Cluster based and Tree based Data Aggregation (MCTDA) [16], and Cluster based and Tree based Power Efficient Data 3 Collection and Aggregation (CTPEDCA) [17]. We compared our proposed method with these mentioned methods in terms of energy consumption and the amount of energy remaining in each sensor network lifetime.…”

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confidence: 99%

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Fuzzy-Clustering Based Data Gathering in Wireless Sensor Network

Abasi¹,

Sajedi²

2016

IJSC

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“…If CH0 is failed, the network also failed. When the base station is too far, this method is not useful [17].…”

Section: Previous Workmentioning

confidence: 99%

mentioning

confidence: 99%

Fuzzy-Clustering Based Data Gathering in Wireless Sensor Network

Abasi¹,

Sajedi²

2016

IJSC

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“…A cluster based energy efficient data collection and aggregation protocol named as CEDCAP is proposed in [12] follows four simple phases named as CH selection, cluster head formation, node degree control and data transmission phase. Sink uses simulated annealing algorithm to find optimal clusters and selects cluster heads based on the residual energy for current round.…”

Section: Related Workmentioning

confidence: 99%

“…We used the energy consumption model proposed in [12], where to transmit a l-bit data at a distance d, the radio energy expands can be calculated by the following eq. (1) …”

Section: Performance Analysis Using Radio Energy Modelmentioning

confidence: 99%

Energy based Efficiency Evaluation of Cluster-Based Routing Protocols for Wireless Sensor Networks (WSNs)

Faheem¹,

Ngadi²,

Ali³

et al. 2013

IJSEIA

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“…Energy efficiency is of primary importance in WSNs (Wang et al, 2011a). However, sensing, data processing and data communication are the main energy consumption in which data communication is a major source of energy consumption (Pottie and Kaiser, 2000).…”

Section: Introductionmentioning

confidence: 99%

UDCA: Energy Optimization in Wireless Sensor Networks Using Uniform Distributed Clustering Algorithms

Abidoye¹,

Azeez²,

Adesina³

et al. 2011

Research J. of Information Technology

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Transceivers are the major energy consumption in a Wireless Sensor Network which is made of low-power, small in size, low cost and multi-functional nodes. These sensor nodes are operated by batteries which put significant constraint to the energy available to them. Each sensor node collects sensed data and forwards it to a single processing centre called the base station which uses all reported data to detect an event or determine the changes in an environment. In present study, we propose energy optimization in Wireless Sensor Networks (WSNs) using uniform distributed clustering algorithms. One ofthe algorithms distributes cluster heads uniformly in each cluster and each non -cluster head transmit its data to the cluster heads with short distance which reduces the communication distance of each node. Thus, minimizes the energy consumption of sensor nodes. The second algorithm generates cluster heads in hierarchical form in order to transmit the aggregate data to the base station. It was observed that there is increase in energy savings as we move from bottom up in the hierarchy. Both UDCA protocol and Low Energy Adaptive Cluster Hierarchy protocol (LEACH) were simulated. The simulation results show significant reduction in energy consumption of sensor nodes and cluster heads are more uniformly distributed among all nodes in UDCA compare with LEACH and extend the wireless sensor networks lifetime.

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A Cluster-based and Tree-based Power Efficient Data Collection and Aggregation Protocol for Wireless Sensor Networks

Cited by 42 publications

References 6 publications

Fuzzy-Clustering Based Data Gathering in Wireless Sensor Network

Fuzzy-Clustering Based Data Gathering in Wireless Sensor Network

Energy based Efficiency Evaluation of Cluster-Based Routing Protocols for Wireless Sensor Networks (WSNs)

UDCA: Energy Optimization in Wireless Sensor Networks Using Uniform Distributed Clustering Algorithms

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