Energy Efficient and Balanced Cluster-Based Data Aggregation Algorithm for Wireless Sensor Networks

Yuea, Jun; Zhang, Weiming; Xiao, Weidong; Tang, Daquan; Tang, Jiuyang

doi:10.1016/j.proeng.2012.01.253

Cited by 90 publications

(39 citation statements)

References 6 publications

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“…Khan et al [18] balanced the energy consumption in a specific secure protocol by introducing a balanced factor. Yuea et al [19] formulated a balanced cluster-based data aggregation algorithm. The WSN was divided into grids, and the CH was selected to manage the nodes and balance the energy consumption of the nodes.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Balanced Routing Protocol for a Wireless Sensor Network

Lin

2018

Journal of Sensors

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The wireless sensor network is an intelligent self-organizing network which consists of many sensor nodes deployed in the monitoring area. The greatest challenge of designing a wireless sensor network is to balance the energy consumption and prolong the lifetime of the network, seeing that the nodes can be powered only by batteries in most conditions. An energybalanced routing protocol (EBRP) for wireless sensor networks is proposed in this paper. In EBRP, we divide the network into several clusters by using K-means++ algorithm and select the cluster head by using the fuzzy logical system (FLS). Since the previous researches did not demonstrate how to get the fuzzy rules for different networks, we propose a genetic algorithm (GA) to obtain the fuzzy rules. We code the rules as a chromosome, and the lifetime of the network is treated as a fit function. Then, through the selection, crossover, and mutation of each generation, the best offspring can be decoded as the best rule for each network model. Through the simulation, comparing with the existing routing protocols such as low-energy adaptive clustering hierarchy (LEACH), low-energy adaptive clustering hierarchy-centralized (LEACH-C), and stable election protocol (SEP), the EBRP prolongs the network lifetime (first node dies) by 57%, 63%, and 63%, respectively.

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Section: Related Workmentioning

confidence: 99%

An Energy-Balanced Routing Protocol for a Wireless Sensor Network

Lin

2018

Journal of Sensors

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“…This is effective technique to save energy [22] in WSNs. The most efficient way to implement data aggregation method is through clustering the network, wherein the cluster-head (CH) collects and process data before transmitting fused data to the sink [23]. Generally, clustering organizes multilevel clusters forming tree structure into network and CHs transmit processed data in multi-hops to other CHs and finally reaches to sink and results in significant energy savings [24].…”

Section: Data Aggregation/fusionmentioning

confidence: 99%

Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review

Pandey¹

2017

int.jour.sci.res.mana

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Abstract-The applications of Wireless Sensor Networks (WSNs) are growing at rapid pace and providing pervasive computing environments. Energy constraints is the most critical issue in sensor applications and that needs be optimized to prolong the life of resource constrained sensor network. Clustering is an efficient technique to group the sensor nodes of entire network into number of clusters to support high scalability and provide better data aggregation by efficient utilization of limited resources of sensor nodes and that prolongs network lifetime.In this paper, some widely explored clustering algorithms in WSNs are discussed on several aspects and characteristics such as clustering timings, clustering attributes, convergence rate etc. The advantages and disadvantages of corresponding clustering algorithms are also explained with suitable examples. The paper finally concludes with discussion on the challenges of clustering in WSNs with mentioning the future research topics.

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“…The sensor network was divided into rectangular grids. For each grid, the cluster head was elected to manage the nodes and balance the load among the sensors [7].…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Fault Tolerable Routing Protocol for Wireless Sensor Networks

Singh¹,

Tripathi²,

Chourasiya³

2016

International Journal of Advanced Research in Computer and Comm

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Abstract-Wireless sensor networks provide a significant contribution to the emerging field such as ubiquitous computing and ambient intelligence. Due to the inherent property of WSN, it is most vulnerable for reliability. In literature, most of the authors concern about network longevity and ignore fault tolerance. In this dissertation, we present an energy-efficient fault tolerable routing protocol (EEFT) mechanism for WSN. The major novelty of this work is that sensor nodes can send their data to alternate path during a fault. The energy efficient can be achieves using clustering protocol for routing. The subordinate for each cluster help to tolerate faults occurred in the proximity. The cluster head nodes in proximity propagate aggregated data to base station. The simulation results show that the proposed approach yields better performance than the existing methods. It has observed that the proposed protocol EEFT has better energy utilization than existing EE-LEACH and FTREEP protocols. The EEFT protocol also has better packet delivery ratio than FTEERP; it increased up to 53.60%.

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Energy Efficient and Balanced Cluster-Based Data Aggregation Algorithm for Wireless Sensor Networks

Cited by 90 publications

References 6 publications

An Energy-Balanced Routing Protocol for a Wireless Sensor Network

An Energy-Balanced Routing Protocol for a Wireless Sensor Network

Energy Efficient Clustering Techniques for Wireless Sensor Networks-A Review

Energy Efficient Fault Tolerable Routing Protocol for Wireless Sensor Networks

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