Collaborative beamforming techniques for data transmission in wireless sensor networks

Berbakov, Lazar; Beko, Marko

doi:10.5937/telfor1502062b

Cited by 1 publication

(2 citation statements)

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“…These erroneous decisions result in decrease of the achievable RSS level, where as expected, larger noise results in lower final RSS levels. This behavior is in line with the one presented in [27], where the authors considered the effect of additive noise on the algorithm of Mudumbai et al [8].…”

Section: B Collaborative Beamforming With Distributed Power Allocationsupporting

confidence: 89%

“…Consequently, the increase of RSS at the BS is slower, which results in lower RSS level once the algorithm reaches last iteration L final . This behavior is in line with our previous work presented in [27], where we analyzed the impact of observation noise on behavior of the original one-bit of feedback algorithm without sidelobe constraint in a scenario with simultaneous phase synchronization and data transmission.…”

Section: Figure 2 Beampattern Of Collaborative Beamforming Algorithms With and Without Sidelobe Control Mechanisms (supporting

confidence: 88%

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Collaborative Data Transmission in Wireless Sensor Networks

et al. 2020

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Collaborative beamforming (CBF) is a promising technique aimed at improving energy efficiency of communication in wireless sensor networks (WSNs) which has attracted considerable attention in the research community recently. It is based on a fact that beampattern with stable mainlobe can be formed, if multiple sensors synchronize their oscillators and jointly transmit a common message signal. In this paper, we consider application of CBF with one bit of feedback in different communication scenarios and analyze the impact of constraints imposed by simple sensor node hardware, on the resulting signal strength. First, we present a CBF scheme capable of reducing interference levels in the nearby WSN clusters by employing joint feedback from multiple base stations that surround the WSN of interest. Then, we present a collaborative power allocation and sensor selection algorithm, capable of achieving beamforming gains with transmitters that are not able to adjust their oscillators' signal phase. The performance of the algorithms is assessed by means of achieved beamforming gain which is given as a function of algorithm iterations. The presented results, which are based on numerical simulations and mathematical analysis, are compared with the ideal case without constraints and with negligible noise at the Base Station (BS).

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Section: B Collaborative Beamforming With Distributed Power Allocationsupporting

confidence: 89%

Section: Figure 2 Beampattern Of Collaborative Beamforming Algorithms With and Without Sidelobe Control Mechanisms (supporting

confidence: 88%