A Novel Biased Energy Distribution (BED) Technique for Cluster-Based Routing in Wireless Sensor Networks

Salami, Abdulazeez Femi; Bello-Salau, Habeeb; Anwar, Fatima M.; Aibinu, Abiodun Musa

doi:10.21307/ijssis-2017-433

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…Most part of energy is consumed by sensing, calculating and communication processes. Especially, nearly a half of the total power consumes during data transmission and receiving [11][12][13]. In order to maximize the WSN lifetime, many energy saving strategy was developed for the agriculture WSNs.…”

Section: Paper Node Deployment In Farmland Wireless Sensor Network Bmentioning

confidence: 99%

Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy

Miao

2016

Int. J. Onl. Eng.

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Abstract-Wireless sensor network (WSN) plays an important role in the large scale farmland environmental monitoring. The complex farmland environment has a great impact on the WSN performance. Extremely low power consumption of WSN is required because of the long monitoring period and limited energy. In the considering of network coverage, connectivity, organization and power consumption, this paper proposes a new deployment strategy in the consideration of solar power nodes. A mixed deployment method combining with structure and random filling deployment is used. The hot-spot nodes in the network are replaced by solar nodes in order to get a longer lifetime. The simulation results show that the new method has a better performance than the traditional algorithms.Index Terms-wireless sensor network, agriculture, node deployment, solar power node, energy saving.

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Section: Paper Node Deployment In Farmland Wireless Sensor Network Bmentioning

confidence: 99%

Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy

Miao

2016

Int. J. Onl. Eng.

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“…That process comes down to a nonlinear programming with a constraint, which could obtain the fuzzy dividing matrix and clustering center [19][20][21][22].…”

Section: Bii Rough Set Theorymentioning

confidence: 99%

Knowledge-Based Modeling For Predicting Cane Sugar Crystallization State

Meng

et al. 2014

International Journal on Smart Sensing and Intelligent Systems

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This paper proposes a knowledge-based model applied to an experimental scale evaporative cane sugar crystallization process, which combines the methods of offline and online knowledge acquisition. Firstly, a data mining method based on rough set theory is utilized to extract information from the large quantity of relevant data obtained in experiment. This method products an offline predictive knowledge. Thereafter, a method for online knowledge learning and self-improvement is put forward, based on support vector machine with particle swarm optimization, to improve the predictive accuracy and generalization capacity. Furthermore, the intelligent system is tested using a selfregulating intelligent comprehensive monitoring and controlling platform that represents the cane sugar process. Results demonstrate the feasibility of the system for predicting the crystallization state in a real cane sugar process.

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“…Because of flexibility in deployment and various functions, WSN has numerous potential applications. These typically include environmental monitoring, industrial monitoring, machine health monitoring, and tracking or controlling [3] [4] [5] [6] [7] [8]. Under the guarantee that all of the traffic data in the whole network range can be measured, using sensor nodes can overcome the shortcomings mentioned above [1].…”

Section: Traffic Control Is An Important Component Of Intelligent Tramentioning

confidence: 99%

An Adaptive Traffic Light Control Scheme and its Implementationin WSN-Based ITS

Zhou

Cao

2013

International Journal on Smart Sensing and Intelligent Systems

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Subsequently, the optimal traffic light length can be determined according to the local traffic and predicted traffic data. Simulation results demonstrate that the proposed scheme can achieve much higher performance, in terms of throughput and average waiting time. We also implement proposed scheme into our WSN-based ITS project, iSensNet, and the result shows that our scheme is effective and practical.

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A Novel Biased Energy Distribution (BED) Technique for Cluster-Based Routing in Wireless Sensor Networks

Cited by 11 publications

References 10 publications

Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy

Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy

Knowledge-Based Modeling For Predicting Cane Sugar Crystallization State

An Adaptive Traffic Light Control Scheme and its Implementationin WSN-Based ITS

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