Applications of WSN in health and agriculture

Murillo, Andrés; Peña, M T Néstor; Martı́nez, Diego

doi:10.1109/colcomcon.2012.6233678

Cited by 10 publications

(5 citation statements)

References 7 publications

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“…In [28] the authors implemented a WSN for energy efficient data transmission among sensor nodes using the Tossim simulation tool. In [29] the authors proposed a simulation based WSN for PA application. They used theQualNet software for the simulation.…”

Section: Fig 17: Classification Of Existing Systemmentioning

confidence: 99%

An Analysis of Various Function in Wireless Sensor Network Applied in Precision Agriculture

Roy

Jana

2019

ijarcs

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Precision Agriculture is the idea of instantaneous observation of environmental and field parameters like soil moisture, humidity, temperature, soil PH etc. and transfer of the values of those parameters to the remote central server, which on the basis of these values, takes appropriate action to control the use of different resources like pesticides, water, fertilizer etc. in an optimized way in order to maximize the crop yield in terms of both quality and quantity. In Precision Agriculture, the farmers monitor and analyze the values of the field parameters in real time by using the Wireless Sensor Network (WSN) technology with the help of a varied range of sensors. This information further helps in making the exact judgment for controlling the resource allocation. This survey paper explores different existing methods, communication technologies and protocols related to sensor-based data collection, monitoring and control system. It also reviews the application of WSN in Precision Agriculture environment and successfully points out the future scope of the work in this domain.

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Section: Fig 17: Classification Of Existing Systemmentioning

confidence: 99%

An Analysis of Various Function in Wireless Sensor Network Applied in Precision Agriculture

Roy

Jana

2019

ijarcs

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“…SDN is deployed in various types of networks, such as LAN, MAN, WAN, data center networks, etc. The advantages are flexible network control without sacrificing forwarding performance, ease of implementation, administration, and ample opportunities of reducing energy consumption [44,45]. SDN has proven to be extremely successful in highly scalable data centers extending from private enterprises to public sectors where managing big data is not the only issue [8][9][10]; thousands of new data are being generated every day to satisfy the requirements of various applications initiated by different levels of users.…”

Section: What Is Sdn?mentioning

confidence: 99%

SD-EAR: Energy Aware Routing in Software Defined Wireless Sensor Networks

Banerjee

Hussain

2018

Applied Sciences

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In today's internet-of-things (IoT) environment, wireless sensor networks (WSNs) have many advantages, with broad applications in different areas including environmental monitoring, maintaining security, etc. However, high energy depletion may lead to node failures in WSNs. In most WSNs, nodes deplete energy mainly because of the flooding and broadcasting of route-request (RREQ) packets, which is essential for route discovery in WSNs. The present article models wireless sensor networks as software-defined wireless sensor networks (SD-WSNs) where the network is divided into multiple clusters or zones, and each zone is controlled by a software-defined network (SDN) controller. The SDN controller is aware of the topology of each zone, and finds out the optimum energy efficient path from any source to any destination inside the zone. For destinations outside of the zone, the SDN controller of the source zone instructs the source to send a message to all of the peripheral nodes in that zone, so that they can forward the message to the peripheral nodes in other zones, and the process goes on until a destination is found. As far as energy-efficient path selection is concerned, the SDN controller of a zone is aware of the connectivity and residual energy of each node. Therefore, it is capable of discovering an optimum energy efficient path from any source to any destination inside as well as outside of the zone of the source. Accordingly, flow tables in different routers are updated dynamically. The task of route discovery is shifted from individual nodes to controllers, and as a result, the flooding of route-requests is completely eliminated. Software-defined energy aware routing (SD-EAR)also proposes an innovative sleeping strategy where exhausted nodes are allowed to go to sleep through a sleep request-sleep grant mechanism. All of these result in huge energy savings in SD-WSN, as shown in the simulation results.

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“…In recent days, Wireless Sensor Network is emerging in a rapid manner in different fields, namely environment monitoring, military surveillance, health care industries, etc., [1][2][3][4]. WSN is composed of several tiny sensor nodes which are limited resource self-conscious devices.…”

Section: Introductionmentioning

confidence: 99%

SDAFPS: Secure Data Aggregation using Fuzzy Judgement, Pattern Category and SHAP Contribution

Reshma

Shaila²,

Venugopal

2021

SN COMPUT. SCI.

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Secure data aggregation intends to reduce redundant data transmission and malicious node interference in the network. Therefore, designing secure data aggregation protocol is a crucial task in WSNs. In this paper, we have proposed a Secure Data Aggregation using Fuzzy Judgement, Pattern Category and SHAP Contribution (SDAFPS) protocol. The SDAFPS protocol involves three main phases. In the first phase, the protocol controls the topology with the selection of efficient aggregator node in every interval. The second phase uses category pattern code generation and utilization concept to reduce data size and to aggregate data. Finally, in third phase, the aggregated data are encrypted using partial equation of SHAP contribution and decrypted with SHAP contribution equation. The decrypted data are verified with dataset preserved at the sink node. The SDAFPS protocol is implemented using NS2 Simulator tool and performance of proposed protocol is compared with existing protocol and validated 18% improvement in network lifetime, 10% minimized End-to-End Delay and 14% improvement on Packet Delivery Ratio over protocol.

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Applications of WSN in health and agriculture

Cited by 10 publications

References 7 publications

An Analysis of Various Function in Wireless Sensor Network Applied in Precision Agriculture

An Analysis of Various Function in Wireless Sensor Network Applied in Precision Agriculture

SD-EAR: Energy Aware Routing in Software Defined Wireless Sensor Networks

SDAFPS: Secure Data Aggregation using Fuzzy Judgement, Pattern Category and SHAP Contribution

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