Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Dogra, Roopali; Rani, Shalli; Babbar, Himanshi; Krah, Daniel

doi:10.1155/2022/8006751

Cited by 30 publications

(6 citation statements)

References 18 publications

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“…To achieve this, the state-of-the-art software-defined radios (SDR) would be a better option to fulfil this target and we left it as future work. One thing comes into our attention is that our current scheme is aiming to harness the proposed channel for WAIC applications, especially from the physical layer design point of view, while for our next step, there are many promising solutions from the Internet of Things, and the wireless sensor networks can be further applied into our scheme, which target on high level design, such as network routing [29,30] and data security [31][32][33]. At last, we see our design as a promising solution to future intracabin communication applications, e.g., on-board sensor networks, emergency communications, and reliability control services.…”

Section: Discussionmentioning

confidence: 99%

Mixed-Numerology Channel Division for Wireless Avionics Intracommunications

Fan

Cui

et al. 2022

Wireless Communications and Mobile Computing

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Increasing attention has been paid to the wireless avionics intracommunications (WAIC) on aircraft. The frequency band of 4200-4400 MHz is recommended to WAIC by the International Telecommunication Union Radio Communication Sector (ITU-R), which thereby comes with a new challenge of using the available frequency band effectively to cater for the massive communication needs in aircraft. To address this challenge, we propose the first channel design framework named mixed-numerology channel division (MNCD) specifically for WAIC. Furthermore, a general interference model has been proposed to better utilize the recommended frequency band. Extensive evaluations show that the proposed framework can be a promising solution for massive wireless communications in aircraft.

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Section: Discussionmentioning

confidence: 99%

Mixed-Numerology Channel Division for Wireless Avionics Intracommunications

Fan

Cui

et al. 2022

Wireless Communications and Mobile Computing

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“…When a Gateway gets a quality of service 2 PUBLISH message packet from the sensor node, it proceeds with the published message respectively and responds to the sender node using publish receive (PUBREC) message packet that admits the PUBLISH message packet. If the sensor node would not receive a PUBREC packet from the Gateway, it dispatches the PUBLISH message packet yet again with a duplicate (DUP) flag until it receives an acceptance receipt (18)(19)(20) .…”

Section: Exactly Once (2)mentioning

confidence: 99%

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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Objectives: To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. Methods: A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their power management. This study is intended to provide efficient routing algorithms with less energy consumption in wireless sensor networks. Findings: A wireless sensor network deployed with a number of non-static nodes in a communication network are beneficial for numerous fields such as the military, medical sector, structural health monitoring, transportation industries, etc. In this paper, the performance parameters like average throughput, average end-to-end delay, packet delivery ratio, average node energy, and normalized routing load are analyzed. Novelty: We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area. In proposed technique energy efficiency is increased compared to the conventional algorithm. In node centric routing protocol, energy efficiency is increased from 55% to 68%. In data centric routing protocol, energy efficiency is increased from 65% to 75%. In source-initiated routing protocol, energy efficiency is increased from 68% to 80%. In destination-initiated routing protocol, energy efficiency is increased from 72% to 85%.

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“…In [ 38 ], a 5G-based multiple-input multiple-output (MIMO) with multiple antennas is presented as a persuasive grouping approach for quickly developing IoT contexts to help a variety of client situations. It is a layering technique and each layer may contain multiple clusters.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Clustering and Routing Algorithm with Threshold-Based Data Collection for Heterogeneous Wireless Sensor Networks

Bilal

Munir

Alarfaj

2022

Sensors

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The concept of the internet of things (IoT) motivates us to connect bulk isolated heterogeneous devices to automate report generation without human interaction. Energy-efficient routing algorithms help to prolong the network lifetime of these energy-restricted smart devices that are connected by means of wireless sensor networks (WSNs). Current vendor-level advancements enable algorithm-level flexibility to design protocols to concurrently collect multiple application data while enforcing the reduction of energy expenditure to gain commercial success in the industrial stage. In this paper, we propose a hybrid clustering and routing algorithm with threshold-based data collection for heterogeneous wireless sensor networks. In our proposed model, homogeneous and heterogeneous nodes are deployed within specific regions. To reduce unnecessary data transmission, threshold-based conditions are presented to prevent unnecessary transmission when minor or no change is observed in the simulated and real-world applications. We further extend our proposed multi-hop model to achieve more network stability in dense and larger network areas. Our proposed model shows enhancement in terms of load balancing and end-to-end delay as compared to the other threshold-based energy-efficient routing protocols, such as the threshold-sensitive stable election protocol (TSEP), threshold distributed energy-efficient clustering (TDEEC), low-energy adaptive clustering hierarchy (LEACH), and energy-efficient sensor network (TEEN).

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Energy-Efficient Routing Protocol for Next-Generation Application in the Internet of Things and Wireless Sensor Networks

Cited by 30 publications

References 18 publications

Mixed-Numerology Channel Division for Wireless Avionics Intracommunications

Mixed-Numerology Channel Division for Wireless Avionics Intracommunications

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Hybrid Clustering and Routing Algorithm with Threshold-Based Data Collection for Heterogeneous Wireless Sensor Networks

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