Energy-Efficient Clustering in Wireless Sensor Networks

Chuang, Po‐Jen; Yang, Sheng‐Hsiung; Lin, Chih-Shin

doi:10.1007/978-3-642-03095-6_11

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…It is possible identify at least three different approaches: cluster-based, chain-based and MST-based techniques. The cluster-based techniques ( [4], [19], [17], [18], [15], [16]) are based on the fact that a limited amount of sensors with an higher energy level collects the data gathered from their neighbors and take charge of the expensive process of transmitting data to the Base Station (after a process of data fusion and aggregation). The sensor that takes care of transmission to base station is called cluster head (Cluster Head).…”

Section: Related Workmentioning

confidence: 99%

A distributed algorithm for building approximate MSTs in random-distributed WSNs

Stefano

Morana

2011

2011 Wireless Advanced

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In this work the authors propose a distributed algorithm for building approximate Minimum Spanning Trees (MSTs) for energy-efficient gathering and aggregation of sensed data in randomly-distributed, multi-hops, wireless sensor networks (WSNs). The MST created, obtained through global organization based on local interactions among each sensor and its neighbors, exploits an innovative joining mechanism that guarantees, at the same time, the creation of a near-optimal energy-efficient MST and the avoidance of cycles. The led simulations have demonstrated that the proposed solution gives, in terms of expected quality of built trees, better performance then the UDG-Nearest Neighbor Algorithm (UDG-NNT) that is, currently, the best known solution for building approximate, energy-efficient, MSTs in multi-hop WSNs. I. INTRODUCTIONWireless Sensor Networks (WSN) are used in a lot of different applicative scenarios, including environmental, industry and military monitoring, object movement tracking, both for safety (floods or fire prevention) or security (intrusion detection) reasons. Independently from the considered applicative scenario, WSNs have the same scope: they sense the covered area in order to acquire data and delivery them to base stations, where data are elaborated and made available for external users. The performance of each sensors network, in terms of quality (precision, tolerance) of sensed data, delivery time, fault tolerance, robustness and energy consuming are influenced by very different aspects. As well as the hardware features of sensors, in terms of electronic circuits and radio technology used, the overall behavior of WSN is affected by the requirements of specific applicative scenario, that could imply synchronous and asynchronous events-driven monitoring, continuous data stream acquisition, and the quantity of sensors deployment in the sensed area, their distance and the interaction among them. Surely, one of the challenges of the WSN research is to find an effective strategy for the power management of sensors. Indeed, even if the low cost and small size of the sensors have allowed their ubiquitous distribution and a great flexibility in their use, on the other hand, they have implied stringent limits in terms of computational capabilities and, above all, of energy available. The power management is

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Section: Related Workmentioning

confidence: 99%

A distributed algorithm for building approximate MSTs in random-distributed WSNs

Stefano

Morana

2011

2011 Wireless Advanced

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“…Chuang et al [8] presented system includes a random statement delay model that selects the node with the shortest statement delay as its area's cluster head to decide the topology of the cluster. Such design will distribute all nodes ' cluster head statement delay to reduce the likelihood of producing superfluous cluster heads, achieve improved cluster head selection and reduce overhead cluster transmission.…”

Section: Related Workmentioning

confidence: 99%

Authenticated Energy Efficient Clustering Algorithm for secure transmission in Wireless Sensor Networks

Asanambigai*,

Ayyasamy

2020

IJITEE

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Authenticated energy consumption is the main criteria for constructing the Wireless Sensor Networks (WSNs). Every sensor has the dissimilar processing, communication range, memory unit. Each sensor node has restricted energy and memory. All the WSN based transmission architecture has the problem of authentication. The transmission overload and energy utilization have complex structure to perform the quality of service in WSN routing in a secure way. In spite of providing efficient communication for WSN, clustering approach is used to transmit the data packet from beginning node to the end node. Data gathering helps to organize the network and minimize the network overhead during data communication. Effective cluster head selection method is used for enhanced energy efficiency. Authenticated Energy Efficient Clustering Algorithm (AEEC) is proposed for efficient authenticated energy consumption-based routing methodology for WSN. The effective communication is performed by generating the authentication code within the sensor nodes to construct the innovative secured transmission based framework. The simulation results proved that the proposed method is implemented to reduce the energy consumption, routing overhead, end to end delay and increased amount of throughput compared to the other techniques.

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“…The clustering technique has proved to be a much efficient method in saving energy. Clusters are selected amongst all the other networks due to the following factors [35]:…”

Section: Taxonomy Of Uwsns Routing Protocolsmentioning

confidence: 99%

A Survey on Routing Protocols for the Underwater Wireless Sensor Network

Bhardwaj¹,

Kaur²,

Kumar³

2017

IJCA

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Underwater wireless sensor networks (UWSNs) obtained the information from the underwater sensors nodes. In which there are lots of issues and difficulties in underwater like size, limited battery power, deployment and limited bandwidth capacity. In underwater, it is difficult to recharge or substitute the battery of the sensors nodes. In such circumstances the concentrate on reducing the battery utilization of the sensors nodes. There are various techniques are used to reduce the battery utilization. The design of routing protocols for underwater sensor networks creates numerous challenges due to essential properties of the underwater environment. Many routing protocols have been proposed in order to provide an efficient, reliable and route discovery between the sources and the sink. It also has more through-put as compared to the existing technique. In this paper, display a survey and comparison of various groups according to their taxonomy with their ability is discussed in detailed.

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Energy-Efficient Clustering in Wireless Sensor Networks

Cited by 6 publications

References 8 publications

A distributed algorithm for building approximate MSTs in random-distributed WSNs

A distributed algorithm for building approximate MSTs in random-distributed WSNs

Authenticated Energy Efficient Clustering Algorithm for secure transmission in Wireless Sensor Networks

A Survey on Routing Protocols for the Underwater Wireless Sensor Network

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