A distributed data-centric storage method for hot spot mitigation in wireless sensor networks

Tahani, Maryam; Sabaei, Masoud

doi:10.1109/istel.2010.5734060

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Although HS mitigation has been studied for wireless sensor networks [8], most existing works on small cell deployment strategies have focused on optimizing the deployment of small cells on top of a conventional macrocell network or the deployment of a whole new HetNet from scratch [4][5][6]. In [9], the dynamic placement of small cells for hot spots is optimized by minimizing the data delivery cost and by minimizing macrocell utilization, respectively, where the locations of additional small cells are chosen from the set of known candidate sites.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Geometry Analysis and Additional Small Cell Deployment for HetNets Affected by Hot Spots

Chu

2016

Mobile Information Systems

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Hot spots (HSs) of mobile users that were not expected in the original network planning may occur after a heterogeneous network (HetNet) has been deployed and affect the network performance. In this case, deploying additional small cells on top of the existing HetNet without changing the existing network infrastructure is considered as a solution. In this paper, we first provide a stochastic geometry analysis for a HetNet affected by a large HS and for the additional small cells that need to be deployed based on the spatial bivariate Poisson point process. The optimal numbers of additional small cells required in the HS and non-HS areas are obtained by minimizing the difference between the numbers of macrocell users after and before the HS occurs based on the analytical results. We then propose an algorithm to maximize the average user throughput by jointly optimizing the locations of additional small cells and user associations of all cells. Simulation results show that the proposed algorithm can maintain the average user throughput above a threshold with excellent fairness among all users even for a very high density of HS users.

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Section: Related Workmentioning

confidence: 99%

Stochastic Geometry Analysis and Additional Small Cell Deployment for HetNets Affected by Hot Spots

Chu

2016

Mobile Information Systems

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“…In Chou et al, movement of user equipment is considered, and small cell deployment strategy is proposed. In Tahani and Sabaei, authors proposed a method to study HS mitigation in wireless sensor networks. In Qutqut et al, optimization of dynamic small cells for HS is done by minimizing macrocell utilization and data delivery cost, and the most of additional small cells gets limited by the location of candidate.…”

Section: Introductionmentioning

confidence: 99%

Small‐cell intensities for cellular network affected by cell‐edge and hotspot

Borah

Bora

2018

Int J Communication

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At present, every network operator is looking for a cost-effective and spectrally efficient solution not only for better coverage but also to offer higher data rates. Stochastic-based heterogeneous cellular networks have taken over the thoroughly planned traditional hexagonal grid networks. Heterogeneous networks typically include multiple tiers of base stations and small cells. This paper presents an analysis of a cellular network with cell-edge, uncovered, and hotspot (HS) users based on spatial bivariate Poisson Point Process. The work compares the relationship between small cell intensity for cell-edge and HS user's intensity within macrocell area. The variations in small cell intensity for uncovered and HS users outside macrocells are also presented. The simulation results depict higher small cell intensity in cell-edge areas as compared with HS areas within the macrocells, while for outside of macrocells, small cell intensity in HS areas is much higher than that for uncovered areas. The expected numbers of small cell inside and outside macrocells are obtained along with the total new cells required for the proposed model.

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Prediction of hotspot in data centric storage

Amiri

Sabae

2011

2011 Sixth International Conference on Digital Information Management

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A distributed data-centric storage method for hot spot mitigation in wireless sensor networks

Cited by 4 publications

References 9 publications

Stochastic Geometry Analysis and Additional Small Cell Deployment for HetNets Affected by Hot Spots

Stochastic Geometry Analysis and Additional Small Cell Deployment for HetNets Affected by Hot Spots

Small‐cell intensities for cellular network affected by cell‐edge and hotspot

Prediction of hotspot in data centric storage

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