ArticleSensors (Basel, Switzerland)2019
CoSiM-RPO: Cooperative Routing with Sink Mobility for Reliable and Persistent Operation in Underwater Acoustic Wireless Sensor Networks.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things.Sensors (Basel, Switzerland) · 2021Pooled it
- Cooperative Communication Based Protocols for Underwater Wireless Sensors Networks: A Review.Sensors (Basel, Switzerland) · 2024Review
- Deep Q-Network-Based Cooperative Transmission Joint Strategy Optimization Algorithm for Energy Harvesting-Powered Underwater Acoustic Sensor Networks.Sensors (Basel, Switzerland) · 2020Article
- An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities.Sensors (Basel, Switzerland) · 2020Article
- A Comprehensive Survey of Recent Routing Protocols for Underwater Acoustic Sensor Networks.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
An efficient algorithm for the persistence operation of data routing is crucial due to the uniqueness and challenges of the aqueous medium of the underwater acoustic wireless sensor networks (UA-WSNs). The existing multi-hop algorithms have a high energy cost, data loss, and less stability due to many forwarders for a single-packet delivery. In order to tackle these constraints and limitations, two algorithms using sink mobility and cooperative technique for UA-WSNs are devised. The first one is sink mobility for reliable and persistence operation (SiM-RPO) in UA-WSNs, and the second is the enhanced version of the SiM-RPO named CoSiM-RPO, which utilizes the cooperative technique for better exchanging of the information and minimizes data loss probability. To cover all of the network through mobile sinks (MSs), the division of the network into small portions is accomplished. The path pattern is determined for MSs in a manner to receive data even from a single node in the network. The MSs pick the data directly from the nodes and check them for the errors. When erroneous data are received at the MS, then the relay cooperates to receive correct data. The proposed algorithm boosts the network lifespan, throughput, delay, and stability more than the existing counterpart schemes.
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Registered trials
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