Two-tiered wireless sensor networks – base station optimal positioning case study

Tripathi, Rajiv K.; Singh, Yatindra Nath; Verma, Nishchal K.

doi:10.1049/iet-wss.2011.0152

Cited by 20 publications

(13 citation statements)

References 10 publications

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“…We have proposed [7] an algorithm in our previous work for locating the base station optimally to minimize the E. The point optimal location comes out to be…”

Section: Introductionmentioning

confidence: 99%

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Tradeoff between energy consumption and lifetime in two tiered wireless sensor networks

Singh

Tripathi

Singh

et al. 2016

2016 IEEE International Conference on Prognostics and Health Management (ICPHM)

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The optimal location of a base station can be analyzed with two different aspects, first one is the minimum energy expenditure and second is the maximum lifetime of a Wireless Sensor Networks (WSN). Both objectives are similar but they differ mathematicaly. The optimal location of base station is centroid of the distributed nodes, when all the nodes suffers free space loss from the base station. The geometric median-4 is the optimal position if the sensor nodes suffer multipath loss from the base station, and center of the minimum enclosing circle is the optimal location for the n-of-n lifetime. In this paper, we have proposed a method to place the base station, while allowing the trade-off between lifetime and energy consumption in two tiered wireless sensor network.

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“…We have proposed [7] an algorithm in our previous work for locating the base station optimally to minimize the E. The point optimal location comes out to be…”

Section: Introductionmentioning

confidence: 99%

“…In general the minimum enclosing circle gives the maximum lifetime for a sensor network. Tripathi et al [7], discussed the base station positioning for minimum energy consumption. They have shown energy consumption can be minimized when the base station is placed at centroid of nodes if all nodes are suffering free space path loss.…”

Section: Introductionmentioning

confidence: 99%

Tradeoff between energy consumption and lifetime in two tiered wireless sensor networks

Singh

Tripathi

Singh

et al. 2016

2016 IEEE International Conference on Prognostics and Health Management (ICPHM)

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“…Base Station Positioning Routing Algorithm proposed by Tripathy et al [7]. The objective of this algorithm is to minimise the overall energy consumption in a WSN and find such a base station location .Considering some nodes to be far enough to use a different path loss model for their signals to the base station, here proposed algorithm considers two categories of nodes and hence two different path loss models based on their distance from the base station.…”

Section: Bsp [7]mentioning

confidence: 99%

Performance analysis of cluster based routing scheme in wireless sensor network

2016

IJLTET

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“…They proved Minavg to be the better among the three. R.K.Tripathi et al [21] has proposed an algorithm for the base station placement by considering the distance between the nodes to the base station(placing base station as centroid) using the path loss models. Kemal Akkaya et al [2] discussed about dynamic positioning of base station in dealing with dynamic variations in the network resources and surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Energy Minimization of Sensor Nodes by Placing the Base station in Optimal Location

Meenakshi¹,

Rodrigues²

2017

IJET

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-The Base station placement plays a major role in the wireless sensor network to minimize the energy consumption. A new optimal method (orthocenter based approach) has been proposed for the two tired architecture of sensor nodes which may face a problem of path loss. The path loss varies from the node based on their distance to the base station. In this paper the optimal location for the base station is selected so as to minimize the path loss and increase in the energy utilization. The result shows that new method gives a better solution than the previous method (Centroid based approach). Keyword: Energy Utilization, path loss , Orthocenter , centroid Introduction A sensor node consumes energy for the following: events sensing, data aggregation, data transmission, modulation and the reception. The sensor network is densely deployed with the limited energy resource and a single base station to collect and process the data. The transmission power for data is proportional to the square of the distance between the sender and the receiver. The data aggregation will be done locally and also by the anchor(base station), so the energy will be more consumed for the data aggregation. Dorottya et al. [4] discussed about the movement of the base station of a sensor network for the energy conservation for the communication to increase the life time of the network. They followed the three different strategies to reduce the energy Minavg , minimizes the average energy required for the communication. Minmax , minimizes the maximum energy consumption among the active sensor nodes. minrel, minimizes the maximum relative energy consumption of the nodes by considering their remaining battery power. They proved Minavg to be the better among the three. R.K.Tripathi et al. [21] has proposed an algorithm for the base station placement by considering the distance between the nodes to the base station(placing base station as centroid) using the path loss models. Kemal Akkaya et al.[2] discussed about dynamic positioning of base station in dealing with dynamic variations in the network resources and surrounding environment. The dynamic positioning of the base station proves the, increase in network life time, data delivery and protecting the network efficiency. System Model Transceiver ModelThe transceiver model is to estimate the energy consumption in the process of base station location optimization. The transmitter utilizes the energy to run the components of transmitter and the power amplifier, and the receiver utilizes the energy to run the components of the receiver. The distance between the transmitter and the receiver determines the usage of energy. If it is greater than threshold (d 0 ) then the multipath loss model is used otherwise the free space model is used. In the transceiver, for transmission amplifier the path loss exponent n= 2 for free space model and n= 4 for multipath loss model. In Previous works related to the radio communication for free space the same exponent were used in their model for analyzing optim...

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Two-tiered wireless sensor networks – base station optimal positioning case study

Cited by 20 publications

References 10 publications

Tradeoff between energy consumption and lifetime in two tiered wireless sensor networks

Tradeoff between energy consumption and lifetime in two tiered wireless sensor networks

Performance analysis of cluster based routing scheme in wireless sensor network

Energy Minimization of Sensor Nodes by Placing the Base station in Optimal Location

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