Energy Efficient Routing Protocol for Wireless Sensor Networks Using Spatial Correlation Based Medium Access Control Protocol Compared with IEEE 802.11

Rajeswari, A.; Kalaivaani, P. T.

doi:10.1109/pacc.2011.5978967

Cited by 10 publications

(10 citation statements)

References 11 publications

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“…To reduce the amount of communication data in WSN, a lot of correlation-based data aggregation methods have been proposed in [7,[16][17][18][19][20][21][22][23][24]. The traditional data aggregation methods which are used in WSN mainly include two categories, the first type is based on least square method, Bayesian estimation method, D-S evidence theory, and so on; the other is based on artificial intelligence theory of artificial neural network method, fuzzy reasoning method, and rough set method [25].…”

Section: Related Studiesmentioning

confidence: 99%

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

Chen

Wei

2018

Scientific Programming

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More and more big data come from sensor nodes. There are many sensor nodes placed in the monitoring and prewarning system of the coal mine in China for the purpose of monitoring the state of the environment. It works every day and forms the coal mine big data. Traditional coal mine monitoring and prewarning systems are mainly based on mine communication cable, but they are difficult to place at coal working face tunnels. We use WSN to replace mine communication cable and build the monitoring and prewarning system. The sensor nodes in WSN are energy limited and the sensor data are complicated so it is very difficult to use these data directly to prewarn the accident. To solve these problems, in this paper, a new data aggregation strategy and fuzzy comprehensive assessment model are proposed. Simulations compared the energy consumption, delay time, cooperation cost, and prewarning time with our previous work. The result shows our method is reasonable.

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Section: Related Studiesmentioning

confidence: 99%

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

Chen

Wei

2018

Scientific Programming

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“…The Iterative Node Selection (INS) algorithm running at sink, determines the minimum number of representative node to complete the task based on the distortion constraint Dmax. Average distance between the sensor node is determined and informed to all the sensor nodes in the event field [1].…”

Section: Related Workmentioning

confidence: 99%

“…This redundant information, if sent, increases the overall latency and contention within the correlation region and results in wasting scarce WSN energy resources. The proposed spatial correlation based collaborative MAC protocol aims to prevent the transmission of such redundant information and in addition, prioritize the forwarding of filtered data to the sink [1].…”

Section: Related Workmentioning

confidence: 99%

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Spatial Correlation Based Medium Access Control Protocol Using DSR & AODV Routing In Wireless Sensor Networks For Energy Efficient Data Collection

Kumar¹

2013

IOSR-JCE

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“…In [5], Rajeswari et al presented a theoretical framework based on the spatial correlation model proposed in [4], in order to separate the sensor field into correlation areas. According to the partition results, an iterative node selection (INS) algorithm was used to select the representative node in each correlation area.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Scheduling Mechanism for Indoor Wireless Sensor Networks

Akhtar

Shami

et al. 2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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Wireless sensor networks are an electro mechanical system which is used to transfer information to the base station from the beacon node. The objective of our project is to increase the lifetime of a beacon node, parallelly decreasing the energy using WSN by using appropriate scheduling mechanism. Each sensor performs different types of operation such as collecting the information from the sensors, processing it and communicating the source information when required, so energy consumption of these nodes is high. This can be reduced by using centralized approach and average consensus based Distributed algorithm. The lifetime of sensor is first increased by modifying M2CIC into multimodal set coverage problem and using this to produce NP-completeness. Another problem here is the network utility maximi-zation problem which consists of Mixed Integer programming. This is solved by splitting the multi period problem into a single period problem. It is future reduced to Pure Integer programming. This Pure Integer programming can be solved by a centralized way.

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Energy Efficient Routing Protocol for Wireless Sensor Networks Using Spatial Correlation Based Medium Access Control Protocol Compared with IEEE 802.11

Cited by 10 publications

References 11 publications

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

Research on Monitoring and Prewarning System of Accident in the Coal Mine Based on Big Data

Spatial Correlation Based Medium Access Control Protocol Using DSR & AODV Routing In Wireless Sensor Networks For Energy Efficient Data Collection

Energy-Efficient Scheduling Mechanism for Indoor Wireless Sensor Networks

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