ArticleSensors (Basel, Switzerland)2020
An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Monoolein-Based Wireless Capacitive Sensor for Probing Skin Hydration.Sensors (Basel, Switzerland) · 2024Article
- A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- A Hybrid Price Auction-Based Secure Routing Protocol Using Advanced Speed and Cosine Similarity-Based Clustering against Sinkhole Attack in VANETs.Sensors (Basel, Switzerland) · 2022Article
- Energy-Efficient and Secure Opportunistic Routing Protocol for WSN: Performance Analysis with Nature-Inspired Algorithms and Its Application in Biomedical Applications.BioMed research international · 2022Article
- N-GPETS: Neural Attention Graph-Based Pretrained Statistical Model for Extractive Text Summarization.Computational intelligence and neuroscience · 2022Article
- Spectrum Based Power Management for Congested IoT Networks.Sensors (Basel, Switzerland) · 2021Article
- Internet of Things: Evolution, Concerns and Security Challenges.Sensors (Basel, Switzerland) · 2021Article
- Enhanced Routing Algorithm Based on Reinforcement Machine Learning-A Case of VoIP Service.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity of the wireless network. The routing of packets is the most energy-consuming activity for a sensor node. Thus, finding an energy-efficient routing strategy for transmission of packets becomes of utmost importance. The opportunistic routing (OR) protocol is one of the new routing protocol that promises reliability and energy efficiency during transmission of packets in wireless sensor networks (WSN). In this paper, we propose an intelligent opportunistic routing protocol (IOP) using a machine learning technique, to select a relay node from the list of potential forwarder nodes to achieve energy efficiency and reliability in the network. The proposed approach might have applications including e-healthcare services. As the proposed method might achieve reliability in the network because it can connect several healthcare network devices in a better way and good healthcare services might be offered. In addition to this, the proposed method saves energy, therefore, it helps the remote patient to connect with healthcare services for a longer duration with the integration of IoT services.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.