Distributed beamforming with close to optimal number of nodes for green wireless sensor networks

Tessema, Netsanet; Lian, Xiaohua; Nikookar, H.

doi:10.1109/greencom.2012.6519630

Cited by 4 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Markov chain modeling of a CRSN in SG: this scheme was presented in [109]. It aims at reducing transition delay during handoffs.…”

Section: Cluster Architecturementioning

confidence: 99%

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

Ogbodo¹,

Dorrell²,

Abu‐Mahfouz³

2019

Preprint

View full text Add to dashboard Cite

A cognitive radio sensor network (CRSN) based Smart Grid (SG) is a new paradigm for a modern SG. It is totally different from the traditional power grid and also different from the conventional SG that uses a static resource allocation technique to allocate resources to sensor nodes and communication devices in the SG network. Due to the challenges associated with competitive sensor nodes and communication devices in accessing and utilizing radio resources, the need for dynamic radio resource allocation (RRA) has been proposed as a solution for allocating radio resources to sensor nodes in a CRSN based smart grid ecosystem (network). These challenges include energy/power constraints, poor quality of service (QoS), interference, delay, spectrum efficiency issues, and excessive spectrum hand-offs. Hence, the optimization of resource allocation criteria, such as energy efficiency, throughput maximization, QoS guarantee, fairness, priority, interference mitigation/avoidance, etc., will go a long way in addressing the problems of RRA in a CRSN based SG. Consequently, this work explores RRA in CRSNs for SGs. Various resource allocation schemes, as well as its architecture in a CRSN for SG environment, are presented. The work reported in this paper introduces a model called the “guaranteed network connectivity channel allocation” for throughput maximization (GNC-TM) and optimal spectrum band determination in RRA for improved throughput criteria in CRSNs for SGs. The results show that the model outperforms the existing protocol in terms of throughput and error probability. Finally, the contribution to knowledge and future research direction, such as energy efficiency and hybrid energy harvesting schemes are highlighted.

show abstract

“…• Markov chain modeling of a CRSN in SG: this scheme was presented in [109]. It aims at reducing transition delay during handoffs.…”

Section: Cluster Architecturementioning

confidence: 99%

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

Ogbodo¹,

Dorrell²,

Abu‐Mahfouz³

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…To extend the advantages of MIMO systems to single antenna devices, the idea of deploying a cooperative (also known as virtual or distributed) MIMO architecture appears to be very promising. Many works in the literature deal with cooperative schemes for WSNs: one of the first studies was presented in [2], where nodes cooperate to establish virtual antenna arrays; [3] presents a multi-hop cooperative WSN, minimising end-to-end outage probability; in [4] and [5] cooperative beamforming is considered. Despite its promises, the deployment of a cooperative MIMO architecture in WSNs poses several technical challenges mainly because of the large amount of signalling packets required to enable cooperation among different nodes.…”

Section: Introductionmentioning

confidence: 99%

“…Many works in the literature deal with the optimisation of cluster size in non-cooperative WSNs (see, e.g., [6]). Some works address this issue considering cooperative schemes: [5] derives a close-to-optimal number of nodes and a selection method for distributed beamforming; in [7], the optimal cluster size minimizing the outage probability under a Rayleigh fading channel is derived for a cooperative WSN. The aforementioned works, as many others in the literature, do not account for many realistic aspects of WSNs, such as hardware limitation and imperfect synchronisation.…”

Section: Introductionmentioning

confidence: 99%

On the optimum number of cooperating nodes in interfered cluster-based sensor networks

Mijovic

Sanguinetti

Buratti

et al. 2016

2016 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

This paper presents a cooperative multiple-input multiple-output (MIMO) scheme for a wireless sensor network consisting of inexpensive nodes, organised in clusters and transmitting data towards sinks. The transmission is affected by hardware imperfections, imperfect synchronisation, data correlation among nodes of the same cluster, channel estimation errors and interference among nodes of different clusters. Within this setting, we are interested in determining the number of nodes per cluster that maximises the energy efficiency of the network. The analysis is conducted in the asymptotic regime in which the number N of sensor nodes per cluster grows large without bound. Numerical results are used to validate the asymptotic analysis in the finite system regime and to investigate different configurations. It turns out that the optimum number of sensor nodes per cluster increases with the inter-cluster interference and with the number of sinks

show abstract