Literature DB >> 33535483

Reliable Link Level Routing Algorithm in Pipeline Monitoring Using Implicit Acknowledgements.

Carlos Egas Acosta1,2, Felipe Gil-Castiñeira2, Enrique Costa-Montenegro2, Jorge Sá Silva3.   

Abstract

End-to-end reliability for Wireless Sensor Network communications is usually provided by upper stack layers. Furthermore, most of the studies have been related to star, mesh, and tree topologies. However, they rarely consider the requirements of the multi-hop linear wireless sensor networks, with thousands of nodes, which are universally used for monitoring applications. Therefore, they are characterized by long delays and high energy consumption. In this paper, we propose an energy efficient link level routing algorithm that provides end-to-end reliability into multi-hop wireless sensor networks with a linear structure. The algorithm uses implicit acknowledgement to provide reliability and connectivity with energy efficiency, low latency, and fault tolerance in linear wireless sensor networks. The proposal is validated through tests with real hardware. The energy consumption and the delay are also mathematically modeled and analyzed. The test results show that our algorithm decreases the energy consumption and minimizes the delays when compared with other proposals that also apply the explicit knowledge technique and routing protocols with explicit confirmations, maintaining the same characteristics in terms of reliability and connectivity.

Entities:  

Keywords:  access protocols; industrial communication; linear networks; wireless sensor networks

Year:  2021        PMID: 33535483     DOI: 10.3390/s21030968

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things.

Authors:  Amir Masoud Rahmani; Saqib Ali; Mazhar Hussain Malik; Efat Yousefpoor; Mohammad Sadegh Yousefpoor; Amir Mousavi; Faheem Khan; Mehdi Hosseinzadeh
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

2.  Emerging Sensors Techniques and Technologies for Intelligent Environments.

Authors:  Ionut Anghel; Tudor Cioara
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

  2 in total

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