A novel Network architecture for Cognitive Wireless Sensor Network

Singhal, Deepti; Barjatiya, Saurabh; Ramamurthy, Garimella

doi:10.1109/icsccn.2011.6024518

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…In order to build a spanning tree of the graph produced by the network is a tree which contains all vertices in the graph, but only some of them include the edges [7]. So we can conclude that this description of a network graph over a spanning tree can be produced.…”

Section: ) Construction Of a Minimum Spanning Tree (Mst)mentioning

confidence: 95%

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A Novel Energy-Efficient Architecture Based on QoS for the Smart Grid

Nabati¹,

Mazinani²,

Ajili³

2015

JOCET

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Abstract-Today by more complicating in smart grid, request and need for reliability, security and more efficiency and also environmental concerns, we need to change the operation and use of electrical networks. Power companies and the government consider that the smart grid will be salvation for the future. Recent advances in the fabrication of integrated circuits and the development of wireless communication technology that is cusses WSN entry in smart grid. One of the most important features of sensor networks used in smart grid is the energy constraints. So we will offer a new architecture for smart grid in the field of the WSNs to reduce the total energy. Moreover, we will improve some routing factors, QoS parameters such as delay and reliability with respect to the desired user.Index Terms-Smart grid, wireless sensor network, sectoring, minimum spanning tree.

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Section: ) Construction Of a Minimum Spanning Tree (Mst)mentioning

confidence: 95%

“…In this section, we will explain each of the steps of the proposed method and also how to implement the goals [7].…”

Section: Details Of the Proposed Methods And Implementationmentioning

confidence: 99%

A Novel Energy-Efficient Architecture Based on QoS for the Smart Grid

Nabati¹,

Mazinani²,

Ajili³

2015

JOCET

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“…CHs then forward their data to sinks or base stations (BS) which are supposed to have higher energy and stronger processing capabilities. The existing clustering algorithms [15][16][17][18] consider homogeneous sensor nodes, and in [19] a cluster-based approached is formed for a meshed network. Within the cluster, the CH is responsible for the spectrum management.…”

Section: Clusteringmentioning

confidence: 99%

Spectrum Utilization of Cognitive Radio in Industrial Wireless Sensor Networks - A Review

Yin

Zheng

2018

Intelligent Computing and Internet of Things

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“…While the first does not create clusters the other two mix the clustering strategy with a tree routing algorithm. The latter strategy reduces low latency, while the tree routing algorithm improves energy efficiency [22,23]. In cluster based routing strategy, the sensor nodes in the network divide into several clusters.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Optimized Weighted Minimum Spanning Tree for the Shortest Intrapath Selection in Wireless Sensor Network

Saravanan

Madheswaran²

2014

Mathematical Problems in Engineering

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Wireless sensor network (WSN) consists of sensor nodes that need energy efficient routing techniques as they have limited battery power, computing, and storage resources. WSN routing protocols should enable reliable multihop communication with energy constraints. Clustering is an effective way to reduce overheads and when this is aided by effective resource allocation, it results in reduced energy consumption. In this work, a novel hybrid evolutionary algorithm called Bee Algorithm-Simulated Annealing Weighted Minimal Spanning Tree (BASA-WMST) routing is proposed in which randomly deployed sensor nodes are split into the best possible number of independent clusters with cluster head and optimal route. The former gathers data from sensors belonging to the cluster, forwarding them to the sink. The shortest intrapath selection for the cluster is selected using Weighted Minimum Spanning Tree (WMST). The proposed algorithm computes the distance-based Minimum Spanning Tree (MST) of the weighted graph for the multihop network. The weights are dynamically changed based on the energy level of each sensor during route selection and optimized using the proposed bee algorithm simulated annealing algorithm.

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A novel Network architecture for Cognitive Wireless Sensor Network

Cited by 6 publications

References 12 publications

A Novel Energy-Efficient Architecture Based on QoS for the Smart Grid

A Novel Energy-Efficient Architecture Based on QoS for the Smart Grid

Spectrum Utilization of Cognitive Radio in Industrial Wireless Sensor Networks - A Review

A Hybrid Optimized Weighted Minimum Spanning Tree for the Shortest Intrapath Selection in Wireless Sensor Network

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