Energy efficient virtual MIMO communication for wireless sensor networks

Hussain, Sajid; Azim, Anwarul; Park, Jong Hyuk

doi:10.1007/s11235-009-9176-7

Cited by 46 publications

(31 citation statements)

References 13 publications

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“…There are two types of communication in a cooperative MIMO relay network: local/intra communication at virtual MIMO nodes and long-haul/inter communication between virtual MIMO nodes [3,28]. The following MIMO scheme cooperatively relays k(k ≥ 1) data from a cluster A to a destination cluster, where A can be the base station when it sends a query to the source cluster or the source cluster when it sends the source data back to the base station: MIMO Scheme for data relay between virtual nodes A and B…”

Section: Cooperative Data Transmission Schemementioning

confidence: 99%

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

Hong

Chen

Shetty

et al. 2017

IJNC

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Cooperative MIMO communication is a promising technology which enables realistic solution for improving communication performance with MIMO technique in wireless networks that are composed of size and cost constrained devices. However, the security problems inherent to cooperative communication also arise. Cryptography can ensure the confidentiality in the communication and routing between authorized participants, but it usually cannot prevent the attacks from compromised nodes which may corrupt communications by sending garbled signals. In this paper, we propose a cross-layered approach to enhance the security in query-based cooperative MIMO sensor networks. The approach combines efficient cryptographic technique implemented in upper layer with a novel information theory based compromised nodes detection algorithm in physical layer. In the detection algorithm, a cluster of K cooperative nodes are used to identify up to K − 1 active compromised nodes. When the compromised nodes are detected, the key revocation is performed to isolate the compromised nodes and reconfigure 50International Journal of Networking and Computing the cooperative MIMO sensor network. During this process, beamforming is used to avoid the information leaking. The proposed security scheme can be easily modified and applied to cognitive radio networks. In such cognitive radio network, if we assume that in cooperative transmission the unlicensed users use one licensed user's frequency, a cluster of K cooperative nodes can identify up to K − 2 active compromised nodes. Simulation results show that the proposed algorithm for compromised nodes detection is effective and efficient, and the accuracy of received information is significantly improved.

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Section: Cooperative Data Transmission Schemementioning

confidence: 99%

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

Hong

Chen

Shetty

et al. 2017

IJNC

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Section: Introductionmentioning

confidence: 99%

“…The energy consumption is optimized in this paper [4] based on virtual MIMO technology by optimizing the constellation size, and the first sensor node death time is delayed. Although multi-hop transmission mode is adopted in this paper [2][3][4], the method of energy consumption optimization is enumeration without flexibility. This paper [5] proposes a routing scheme based on ant colony algorithm to reduce the network energy consumption through analyzing the algorithm of Low Energy Adaptive Clustering Hierarchy (LEACH), but the total energy consumption is not exact without considering the circuit energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Data Transmission Strategy for Wireless Sensor Network Based on Vir-tual MIMO

Feng

2015

MATEC Web of Conferences

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“…By the use of cooperative techniques, wireless devices are allowed to share and use the network resources in a more efficient way [6,10,[12][13][14][15][16]. As an example, the authors in [14] present a cooperative method to share the network resources and manage interference among femtocells in a distributed manner.…”

Section: Introductionmentioning

confidence: 99%

“…The theoretical aspects of virtual MIMO have previously been covered in [17,18]. Work on virtual MIMO which considers energy efficiency as an optimization metric can be found in [8,12,19]. The authors in [12,19] illustrate the energy savings obtained when virtual MIMO techniques are used compared with non-cooperative approaches in wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

A distributed virtual MIMO coalition formation framework for energy efficient wireless networks

Ramírez¹,

Thompson

Altman

et al. 2015

J Wireless Com Network

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In this paper, we consider a distributed virtual multiple-input multiple-output (MIMO) coalition formation algorithm. Energy savings are obtained in the reverse link by forming multi-antenna virtual arrays for information transmission. Virtual arrays are formed by finding a stable match between two sets of single antenna devices such as mobile stations (MSs) and relay stations (RSs) based on a game theoretic approach derived from the concept of the college admissions problem. Thus, power savings are obtained through multi-antenna arrays by implementing the concepts of spatial diversity and spatial multiplexing for reverse link transmission. We focus on optimizing the overall consumed power rather than the transmitted power of MSs and RSs. Furthermore, it is shown analytically and by simulation that when the overall consumed power is considered, the energy efficiency of the single antennas devices is not always improved by forming a virtual MIMO array. Hence, single antenna devices may prefer to transmit on their own when channel conditions are favorable. In addition, the simulation results show that the framework we propose provides comparable energy savings and a lower implementation complexity when compared to a centralized exhaustive search approach.

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Energy efficient virtual MIMO communication for wireless sensor networks

Cited by 46 publications

References 13 publications

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

Data Transmission Strategy for Wireless Sensor Network Based on Vir-tual MIMO

A distributed virtual MIMO coalition formation framework for energy efficient wireless networks

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