Analysis of Energy Consumption on Data Sharing in Beamforming for Wireless Sensor Networks

Feng, Jing; Nimmagadda, Yamini; Lu, Yung-Hsiang; Jung, Byunghoo; Peroulis, Dimitrios; Hu, Yuchong

doi:10.1109/icccn.2010.5560150

Cited by 7 publications

(4 citation statements)

References 17 publications

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“…This article extends our previous work [Feng et al 2010a[Feng et al , 2010b by analyzing how the size of the sensing area affects our previous scheduling algorithm, Energy and Phase (EP). EP has shorter network lifetime when the nodes are deployed in a large sensing area.…”

Section: Contributions Of This Articlementioning

confidence: 94%

“…Some researchers [Barr and Asanovic 2006;Przydatek et al 2003] propose different methods for data compression and aggregation in order to reduce the amount of data that need to be sent to the base station. In [Feng et al 2010a], we propose a procedure for data sharing by aggregating the data at the master node, in order to reduce the energy consumed due to data sharing. The data that are collected by individual sensing nodes are first gathered at a master node.…”

Section: Data Sharingmentioning

confidence: 99%

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Energy-efficient data dissemination using beamforming in wireless sensor networks

Feng

Jung

et al. 2013

ACM Trans. Sen. Netw.

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Energy conservation is essential in Wireless Sensor Networks (WSNs) because of limited energy in nodes' batteries. Collaborative beamforming uses multiple transmitters to form antenna arrays; the electromagnetic waves from these antenna arrays can create constructive interferences at the receiver and increase the transmission distance. Each transmitter can use lower power and save energy, since the energy consumption is spread over multiple transmitters. Each beamforming transmission requires multiple collaborative transmitters. Repetitively using the same transmitters will deplete their energy and create coverage holes in the sensing area. To prevent holes, energy should be balanced by using different transmitters. This article investigates the factors that can affect the energy consumption and network lifetime when using beamforming. We present an algorithm for selecting the transmitters in order to prolong the network lifetime. Compared with an existing beamforming transmitters scheduling algorithm, our algorithm doubles the network lifetime. When compared with direct transmission or multihop transmissions towards a receiver far away from the sensing area, our approach can increase the network's lifetime substantially.

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Section: Contributions Of This Articlementioning

confidence: 94%

Section: Data Sharingmentioning

confidence: 99%

Energy-efficient data dissemination using beamforming in wireless sensor networks

Feng

Jung

et al. 2013

ACM Trans. Sen. Netw.

Self Cite

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“…The amount of communication among the sensor nodes increases when more transmitters are used. In , a generalized data sharing procedure is proposed for a given deployment, and the energy consumed on data sharing is examined.…”

Section: Analysis Of Wireless Sensor Network Characteristicsmentioning

confidence: 99%

A survey of architectures and scenarios in satellite‐based wireless sensor networks: system design aspects

Celandroni

Ferro

Gotta

et al. 2012

Satell Commun Network

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This paper is not a survey related to generic wireless sensor networks (WSNs), which have been largely treated in a number of survey papers addressing more focused issues; rather, it specifically addresses architectural aspects related to WSNs in some way connected with a satellite link, a topic that presents challenging interworking aspects. The main objective is to provide an overview of the potential role of a satellite segment in future WSNs. In this perspective, requirements of the most meaningful WSN applications have been drawn and matched to characteristics of various satellite/space systems in order to identify suitable integrated configurations. Copyright © 2012 John Wiley & Sons, Ltd.

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“…Inside WSN environment, collaborative beamforming (CB) can be beneficial in increasing signal to noise ratio (SNR), thus boosting the energy efficiency of the system. In contrast with direct transmission transmitter-receiver or hop-by-hop transmission, CB spreads the energy consumption over multiple transmitters and improves the signal strength at the receiver [1]. Therefore, the CB nodes need less energy for data transmission, thus balance the energy consumptions, and desirably extend the network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Circular Collaborative Beamforming for Improved Radiation Beampattern in WSN

Malik

Esa

Yusof

et al. 2013

International Journal of Distributed Sensor Networks

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This paper presents a novel collaborative beamforming (CB) method of wireless sensor network (WSN) by organizing sensor node location in a circular arrangement. Appropriate selection of active CB nodes and cluster is needed each time to perform CB. The nodes are modeled in circular array location in order to consider it as a circular antenna array (CAA). This newly proposed circular collaborative beamforming (CCB) is further presented to solve two different objectives, that is, sidelobe level (SLL) suppression and first null beamwidth (FNBW). Analyses obtained are compared to those from previous work. The findings demonstrate a better CB performance of intelligent capability, and the difference is shown in normalized power characteristic.

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Analysis of Energy Consumption on Data Sharing in Beamforming for Wireless Sensor Networks

Cited by 7 publications

References 17 publications

Energy-efficient data dissemination using beamforming in wireless sensor networks

Energy-efficient data dissemination using beamforming in wireless sensor networks

A survey of architectures and scenarios in satellite‐based wireless sensor networks: system design aspects

Circular Collaborative Beamforming for Improved Radiation Beampattern in WSN

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