Assessing the Cost of RF-Power Harvesting Nodes in Wireless Sensor Networks

Trust is critical in remote sensor systems to exchange the information from source to goal. The Dynamic Source Protocol computes the substitute way, if any hub neglects to exchange the information. The Dynamic Source Protocol does not have any worked in usefulness to figure a substitute way if the way has a vindictive hub. With the cost of an interloper recognition framework we can identify the vindictive hub and modify the information/parcel exchange way. Notwithstanding, gatecrasher location framework is extremely costly for remote sensor systems and there is no certification in identifying a malevolent hub. In the ebb and flow look into a trust-based approach is prescribed to limit the overheads of gatecrasher location framework and it likewise recognizes the anomalous conduct hubs. The proposed demonstrate utilizes the rehashed recreations to distinguish flawed hubs through the agreeable exertion in the sensor organize and additionally judges the trust of progressive hubs. Reenactments were exhibited for standardized result of parcel dropping, normal rebate result, and trust connection.

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Recent Image Compression Strategies to Reduce the Cost of Transmission in Wireless Sensor Networks

International Journal of RFID Security and Cryptography ◽

10.20533/ijrfidsc.2046.3715.2016.0020 ◽

2016 ◽

Vol 4 (1) ◽

pp. 177-184

Author(s):

Benfilali Mostefa ◽

Gafour Abdkader ◽

Boukli H. Sofiane

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Image Compression ◽

Wireless Sensor ◽

The Cost

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Basic Concepts of Wireless Sensor Networks

Encyclopedia of Networked and Virtual Organizations ◽

10.4018/978-1-59904-885-7.ch008 ◽

2011 ◽

pp. 57-64

Author(s):

Lina M. Pestana Leão de Brito ◽

Laura M. Rodríguez Peralta

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Low Cost ◽

Sensor Nodes ◽

Wireless Sensor ◽

Distributed Sensor Networks ◽

Distributed Sensor ◽

Technological Advances ◽

The Cost ◽

Communication Equipment

As with many technologies, defense applications have been a driver for research in sensor networks, which started around 1980 due to two important programs of the Defense Advanced Research Projects Agency (DARPA): the distributed sensor networks (DSN) and the sensor information technology (SensIT) (Chong & Kumar, 2003). However, the development of sensor networks requires advances in several areas: sensing, communication, and computing. The explosive growth of the personal communications market has driven the cost of radio devices down and has increased the quality. At the same time, technological advances in wireless communications and electronic devices (such as low-cost, low-power, small, simple yet efficient wireless communication equipment) have enabled the manufacturing of sensor nodes and, consequently, the development of wireless sensor networks (WSNs).

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Optimization-Based Approaches for Minimizing Deployment Costs for Wireless Sensor Networks with Bounded Estimation Errors

Sensors ◽

10.3390/s21217121 ◽

2021 ◽

Vol 21 (21) ◽

pp. 7121

Author(s):

Chiu-Han Hsiao ◽

Frank Yeong-Sung Lin ◽

Hao-Jyun Yang ◽

Yennun Huang ◽

Yu-Fang Chen ◽

...

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Daily Life ◽

Pearson Correlation ◽

Error Tolerance ◽

Wireless Sensor ◽

Sensor Deployment ◽

Estimation Errors ◽

The Cost ◽

Distribution Problems

As wireless sensor networks have become more prevalent, data from sensors in daily life are constantly being recorded. Due to cost or energy consumption considerations, optimization-based approaches are proposed to reduce deployed sensors and yield results within the error tolerance. The correlation-aware method is also designed in a mathematical model that combines theoretical and practical perspectives. The sensor deployment strategies, including XGBoost, Pearson correlation, and Lagrangian Relaxation (LR), are determined to minimize deployment costs while maintaining estimation errors below a given threshold. Moreover, the results significantly ensure the accuracy of the gathered information while minimizing the cost of deployment and maximizing the lifetime of the WSN. Furthermore, the proposed solution can be readily applied to sensor distribution problems in various fields.

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Study of Agriculture Information Management System Based on Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.5560 ◽

2014 ◽

Vol 556-562 ◽

pp. 5560-5563

Author(s):

Qi Guo Yao ◽

Li Li Li

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Primary Production ◽

Information Management ◽

Agricultural Production ◽

Management System ◽

Information Management System ◽

Wireless Sensor ◽

High Yield ◽

The Cost

To satisfy the need of good quality and high yield primary production, the agriculture information management system based on wireless sensor networks has been proposed. This system can reduce manpower operation and the error of manual measurement in the course of practical production. Also, it can reduce the cost of agricultural production, and realize automation of agricultural production to the largest extent. Further more, it provides an effective way to realize good quality and high yield primary production. So, it has an important realistic meaning.

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Memory Distributed LMS for Wireless Sensor Networks

Mathematical Problems in Engineering ◽

10.1155/2018/9831378 ◽

2018 ◽

Vol 2018 ◽

pp. 1-8

Author(s):

Fangmin Xu ◽

Chenyang Zheng ◽

Haiyan Cao

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Cost Function ◽

Lms Algorithm ◽

Wireless Sensor ◽

Distributed Parameter ◽

Mean Square ◽

Central Processing ◽

The Cost ◽

Local Results

Due to the limited communication resource and power, it is usually infeasible for sensor networks to gather data to a central processing node. Distributed algorithms are an efficient way to resolve this problem. In the algorithms, each sensor node deals with its own input data and transmits the local results to its neighbors. Each node fuses the information from neighbors and its own to get the final results. Different from the existing work, in this paper, we present an approach for distributed parameter estimation in wireless sensor networks based on the use of memory. The proposed approach consists of modifying the cost function by adding extra statistical information. A distributed least-mean squares (d-LMS) algorithm, called memory d-LMS, is then derived based on the cost function and analyzed. The theoretical performances of mean and mean square are analyzed. Moreover, simulation results show that the proposed algorithm outperforms the traditional d-LMS algorithm in terms of convergence rate and mean square error (MSE) performance.

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A Distributed Motion Algorithm for Mobile Sensor in Hybrid Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.719-720.812 ◽

2015 ◽

Vol 719-720 ◽

pp. 812-817

Author(s):

Xi Rong Bao ◽

Yue Huang ◽

Shi Zhang

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Minimum Cost ◽

Mobile Sensors ◽

Wireless Sensor ◽

Network Coverage ◽

Mobile Sensor ◽

Coverage Hole ◽

The Cost ◽

Static Sensors

Constructing a hybrid wireless sensor networks comprising a mix of static sensors and mobile sensors can achieve a balance between improving coverage and reducing the cost of the network. In order to achieve high network coverage, mobile sensor move from a small to a big size of coverage hole in the hybrid wireless sensor networks. Due to the energy of the mobile sensor is limited, how to reduce the moving distance of the mobile sensor and reduce the energy consumption in the process of moving is a very important issue. This paper proposes a distributed minimum cost matching algorithm (DMMA) to redeploy mobile sensor, which can make the level of network coverage to meet the requirement of the environment, while effectively reducing the number of sensors. In our method, static sensors detect coverage hole by Voronoi diagrams, coverage holing sensors and mobile sensors by using DMMA to excellently heal the large coverage holes. Simulation results show that our method can effectively improve the coverage rate of the WSNs, while save the energy of mobile sensors.

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