Sensor Node Activation Policies using Partial or No Information

2007 ◽  
Author(s):  
Taposh Banerjee ◽  
Arzad A. Kherani
Keyword(s):  
Sensor Node ◽  
Node Activation

scholarly journals Sensor Node Activation Using Bat Algorithm for Connected Target Coverage in WSNs

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3733
Author(s):  
Jaemin Kim ◽  
Younghwan Yoo
Keyword(s):  
Sensor Node ◽  
Bat Algorithm ◽  
Sensor Nodes ◽  
Target Coverage ◽  
Coverage Problem ◽  
Active Sensor ◽  
Binary Model ◽  
Nature Inspired Algorithm ◽  
Node Activation ◽  
Target Coverage Problem

This paper proposes a sensor node activation method using the nature-inspired algorithm (NIA) for the target coverage problem. The NIAs have been used to solve various optimization problems. This paper formulates the sensor target coverage problem into an object function and solves it with an NIA, specifically, the bat algorithm (BA). Although this is not the first attempt to use the BA for the coverage problem, the proposed method introduces a new concept called bat couple which consists of two bats. One bat finds sensor nodes that need to be activated for sensing, and the other finds nodes for data forwarding from active sensor nodes to a sink. Thanks to the bat couple, the proposed method can ensure connectivity from active sensor nodes to a sink through at least one communication path, focusing on the energy efficiency. In addition, unlike other methods the proposed method considers a practical feature of sensing: The detection probability of sensors decreases as the distance from the target increases. Other methods assume the binary model where the success of target detection entirely depends on whether a target is within the threshold distance from the sensor or not. Our method utilizes the probabilistic sensing model instead of the binary model. Simulation results show that the proposed method outperforms others in terms of the network lifetime.

Study of Wireless Sensor Node Functions for Underwater Monitoring Sensor Network

2013 ◽  
Vol 133 (4) ◽  
pp. 414-420 ◽  
Author(s):  
Tsuyoshi Suzuki ◽  
Takafumi Kobayashi ◽  
Kei Sawai ◽  
Kuniaki Kawabata ◽  
Fumiaki Takemura ◽  
...  
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Wireless Sensor ◽  
Wireless Sensor Node

A Novel Static Path Planning Method for Mobile Anchor-Assisted Localization in Wireless Sensor Networks

2020 ◽  
Vol 10 ◽  
Author(s):  
Abdelhady M. Naguib ◽  
Shahzad Ali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Path Planning ◽  
Sensor Node ◽  
Large Scale ◽  
Performance Metrics ◽  
Wireless Sensor ◽  
Anchor Node ◽  
Mobile Anchor ◽  
Planning Methods

Background: Many applications of Wireless Sensor Networks (WSNs) require awareness of sensor node’s location but not every sensor node can be equipped with a GPS receiver for localization, due to cost and energy constraints especially for large-scale networks. For localization, many algorithms have been proposed to enable a sensor node to be able to determine its location by utilizing a small number of special nodes called anchors that are equipped with GPS receivers. In recent years a promising method that significantly reduces the cost is to replace the set of statically deployed GPS anchors with one mobile anchor node equipped with a GPS unit that moves to cover the entire network. Objectives: This paper proposes a novel static path planning mechanism that enables a single anchor node to follow a predefined static path while periodically broadcasting its current location coordinates to the nearby sensors. This new path type is called SQUARE_SPIRAL and it is specifically designed to reduce the collinearity during localization. Results: Simulation results show that the performance of SQUARE_SPIRAL mechanism is better than other static path planning methods with respect to multiple performance metrics. Conclusion: This work includes an extensive comparative study of the existing static path planning methods then presents a comparison of the proposed mechanism with existing solutions by doing extensive simulations in NS-2.

Design and characterization methods for a balanced antenna integrated in a small sensor node

2009 ◽  
Author(s):  
P. Hallbjorner ◽  
Shi Cheng ◽  
A. Rydberg ◽  
D. Vanotterdijk ◽  
P. van Engen
Keyword(s):  
Sensor Node ◽  
Characterization Methods

scholarly journals Study of a Current and Voltage Polarization Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4528
Author(s):  
Artur de Araujo Silva ◽  
Claudio Floridia ◽  
Joao Batista Rosolem
Keyword(s):  
Sensor Network ◽  
Sensor Node ◽  
Spectral Band ◽  
Polarization Degree ◽  
Pockels Effect ◽  
Voltage Distribution ◽  
Medium Voltage ◽  
Voltage Sensors ◽  
Polarization Sensor ◽  
A Current

Sensors based on polarization are suitable for application in power grids due to their excellent characteristics, such as high electrical insulation, non-magnetic saturation, oil-free, no risk of explosive failures, and high bandwidth. Utility companies are incorporating new technologies that are driving the evolution of electrical systems. Thus, it is interesting to evaluate the possibility of using polarization sensors in a network configuration. In this work, we present an experimental study of a current and voltage polarization sensor network applied to a medium voltage distribution grid. The current sensor is based on the Faraday effect, and the voltage sensor uses the Pockels effect. Both sensors use a 90° polarization degree between the two output ports to compensate for the various impairments on the measurements by applying the difference-over-sum. The network uses a DWDM topology centered at the 1550 nm range, and both current and voltage sensors in this work used this spectral band. We evaluated the sensor node in terms of accuracy according to IEC standard 61869-10 and IEC standard 61869-11. Considering that an important application of this sensor network is in the aerial cable of medium voltage networks, sensor node accuracy was also estimated in the presence of cable vibration. The calculated power budget of the proposed network indicates that reaching ten nodes of current and voltage sensors in a 10 km optical link is possible, which is enough for a medium urban voltage distribution network.

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