A Novel Approach to use Nano-Sensor in WSN Applications

Neeraj, Kumar; Kumar, Ankit; Deepak, Chaudhr

doi:10.5120/1814-2349

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…The network features are effective in nanoscale sensing and communication capability via WSN. Due its dependable and frequent changing capabilities, Kumar et al [13] recommended using Zno-based storage in nanosensing units.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Nerella¹,

Ahmed²,

Balakrishnan

2023

Journal of Nanomaterials

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Every year, ∼2,000 people are killed by lightning in India, with rural areas accounting for 94% of all lightning deaths. In rural locations, a weather and lightning alert system is crucial for alerting and raising awareness about severe weather and lightning. Only a few states in India have expensive lightning alert systems that send out alerts via SMS and mobile apps. Due to a lack of information about weather alert apps, poor network facility, low literacy, and less usage of smartphones, existing alert mechanisms is not reaching all rural populations. As a result, there is a need to build a low-cost lightning alert system in rural areas that alerts and creates awareness in advance about lightning to rural residents using a variety of alerting methods, such as announcements, sirens, WhatsApp, voice call alerts, and email, in addition to existing alert methods to overcome limitations of existing systems. In order to achieve this, we have developed an IoT- and long range (LoRa)-based weather stations, gateways, and announcement systems using ESP32, nanosensors (DHT11, BMP180, rain sensor, and LDR), lightning detector (AS3935), lightning emulator, Arduino Nano, SD card module, and speakers. This prototype is tested in real time by creating lightning radiation using an emulator shield and by monitoring environmental parameters. It sends an alert to authorized persons/village government officials/rural communities through WhatsApp, email, and voice call about abnormal weather situations with the help of cloud platforms. It also alerts and creates safety awareness to rural people in advance about lightning/critical weather condition through announcement system using loudspeakers. In the future, the proposed system will be trained using artificial intelligence to predict the lightning and other hazardous weather situations in advance and alert rural residents about critical weather conditions in early.

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Section: Literature Reviewmentioning

confidence: 99%

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Nerella¹,

Ahmed²,

Balakrishnan

2023

Journal of Nanomaterials

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“…This is decided by considering the difference between the NNs and the other nodes. When they are switched off, the region of the nodes is identified using GPS [24,25,26]. The signal quality of the advert messages identifies which node will be nearer to the NN.…”

Section: B Cluster Head Selectionmentioning

confidence: 99%

“…Current work forwards our last studies done in the same area of WSN [24,25]. While now this work going towards development of IoT [26][27][28].…”

Section: Conclusion and Future Scopementioning

confidence: 99%

Development of QoS optimized routing using Artificial bee colony and TABU-GA with a mobile base station in Wireless Sensor Network

Varsha¹,

Bala²,

Kumar³

et al. 2019

IJITEE

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Routing in Wireless Sensor Networks (WSNs) have been playing an important and progressive role in different scenarios like the environment and traffic monitoring. In this research paper, extensive contributions have been explored concerning the routing mechanisms involving WSN. Enhancing the critical attributes like network lifetime and reliability are prime areas of research in this field. To obtain the desired results, optimizations have been performed using Swarm Intelligence (SI) based routing mechanism like the Artificial-Bee Colony (ABC) optimization and TABU-GA routing technique. Although, since the past decade, the Ant-Colony Optimization (ACO) and Particle Swarm Optimization (PSO) have been introduced and applied in this field, but the ABC and TABU-GA approach is relatively novel and considered a prominent choice as compared to other methods. However, a lot of scope for further enhancement of the ABC optimization and TABU-GA problem. This paper highlights and explains the comparison between RZLEACH (Rendezvous LEACH), ABC and TABU-GA algorithm based routing mechanisms. The simulation results obtained show that the TABU-GA have significant result over the ABC and RZLEACH and found 6% improvement when compared with the RZLEACH approach in terms of Remaining Energy and 9% lesser in case of First node dead (FND) with comparison to RZLEACH

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“…Current work forwards our last studies done in the same area of WSN [13,14]. While now this work going towards development of IoT [15][16][17].…”

Section: Conclusion and Future Scopementioning

confidence: 99%

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

Varsha¹,

Bala²,

Kumar³

et al. 2019

IJRTE

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The heterogeneity is contextual in wireless sensor network. In the case of hardware terms, there might be different batteries, memory, MAC layer, communication protocol, and computing architecture. To measure the system's lifetime, this paper focuses on node heterogeneity that implies it has three kinds of nodes: advance nodes, supernodes, and normal nodes. In this paper, proposed a new multilevel stable and energyefficient clustering protocol using TABU-GA search mechanism carries out two neighborhood generating operations to detect the optimal path with the aim of maximize the network lifetime in the area of 200m×200m. The simulation is done under the MATLAB environment to observe network stability, throughput, average remaining energy, etc. Our proposed protocol outperforms in comparison with the multilevel stable and energy-efficient clustering protocol.

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A Novel Approach to use Nano-Sensor in WSN Applications

Cited by 9 publications

References 23 publications

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Development of QoS optimized routing using Artificial bee colony and TABU-GA with a mobile base station in Wireless Sensor Network

Hybrid TABU-GA Search For Energy Efficient Routing in WSN

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