Joint rate and cluster optimization in cooperative MIMO sensor networks

Pillutla, Laxminarayana S.; Krishnamurthy, Vikram

doi:10.1109/spawc.2005.1505913

Cited by 14 publications

(5 citation statements)

References 7 publications

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“…Authors derived a two-layer hierarchy clustering model in which CH collects data using CMIMO communication. CMIMO was also used by Pillutla et al [24] where they focused on the optimizing energy consumption and transmission rate. To achieve it authors developed a provably convergent block coordinate descent algorithm that estimates the rate and the number of clusters.…”

Section: Be Effective To Enable a Qos Oriented And Energy Efficient Rmentioning

confidence: 99%

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

Reddy¹,

Devanagavi²,

Thippeswamy³

2019

JESTR

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In this paper, a robust mobility assisted WSN routing protocol named QoS oriented and Energy Efficient Routing Protocol for Cooperative Multiple Input Multiple Output (MIMO) based mobile WSNs (Q-E2RPC) has been developed that exploits the efficiency of network partitioning, Fuzzy Clustering Mean (FCM) and Expectation Maximization (EM) based clustering, Fuzzy Logic Controller (FLC) based Cluster Head (CH) selection and mobile sink based data gathering to meet QoS demands and energy efficiency. Unlike classical clustering methods FCM and EM as a cumulative solution enables optimal clustering, which is followed by the multiple network parameters based CH selection. The use of single mobile sink avoided multi-hop transmission and signaling overheads that eventually reduced energy consumption. Q-E2RPC protocol exhibited timely data delivery, low energy consumption, and reduced signaling overheads. The results exhibited that Q-E2RPC outperforms other state-of-art techniques in terms of higher throughput, low delay and energy consumption, and higher network efficacy.

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Section: Be Effective To Enable a Qos Oriented And Energy Efficient Rmentioning

confidence: 99%

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

Reddy¹,

Devanagavi²,

Thippeswamy³

2019

JESTR

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“…Let d u,v be the average inter-cluster distance. Expected distance between cluster/node u and cluster/node v located at coordinates ( x i , y i ) and ( x j , y j ) is given by [ 14 ]:

where x = x i − x j , y = y i − y j and the length of one side of the grid is 2 a .…”

Section: Hierarchical Cooperative Mimo Clusteringmentioning

confidence: 99%

An Energy Efficient Cooperative Hierarchical MIMO Clustering Scheme for Wireless Sensor Networks

Nasim

Qaisar

Lee

2011

Sensors

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In this work, we present an energy efficient hierarchical cooperative clustering scheme for wireless sensor networks. Communication cost is a crucial factor in depleting the energy of sensor nodes. In the proposed scheme, nodes cooperate to form clusters at each level of network hierarchy ensuring maximal coverage and minimal energy expenditure with relatively uniform distribution of load within the network. Performance is enhanced by cooperative multiple-input multiple-output (MIMO) communication ensuring energy efficiency for WSN deployments over large geographical areas. We test our scheme using TOSSIM and compare the proposed scheme with cooperative multiple-input multiple-output (CMIMO) clustering scheme and traditional multihop Single-Input-Single-Output (SISO) routing approach. Performance is evaluated on the basis of number of clusters, number of hops, energy consumption and network lifetime. Experimental results show significant energy conservation and increase in network lifetime as compared to existing schemes.

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“…The basic idea of this approach is to build up clusters of jointly transmitting nodes that cooperate when sending or receiving messages [4]. In [30] the optimal cluster design is derived. This approach has the benefit that standard routing algorithms as well as multi-hop theory can be applied with little modification.…”

Section: Related Workmentioning

confidence: 99%

Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA

Sigg

Beigl

2008

2008 Eighth International Workshop on Applications and Services in Wireless Networks (Aswn 2008)

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With collaborative transmission we propose a novel transmission scheme that utilises constructive interference between transmitted signals of wireless sensor nodes. Similar to cooperative transmission approaches we are able to drastically extend the transmission range of a wireless sensor network. We show that synchronisation of received signal components is feasible without inter-node communication. Our approach is capable of synchronising a virtually arbitrary number of signal components. The underlying scenario is modelled as a black-box optimisation problem and is solved by a (1 + 1) evolution strategy. The method is optimal in the sense that any other evolutionary search approach with equal mutation probability has an expected asymptotic optimisation time that is at least of the same order.

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Joint rate and cluster optimization in cooperative MIMO sensor networks

Cited by 14 publications

References 7 publications

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC

An Energy Efficient Cooperative Hierarchical MIMO Clustering Scheme for Wireless Sensor Networks

Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA

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