Performance comparison of communication protocol algorithms in WSN based agriculture: PlanTech case study

Wireless sensor networks (WSN) have become increasingly important in agriculture in recent years because they provide critical tools for better decision-making (knowledge -collection- storage- analysis-dissemination of data). These technologies provide resources for making informed decisions and implementing control measures on time. They are also essential tools for understanding the effects of climate change on agriculture, such as shrinking arable land and providing solutions to mitigate the negative consequences of these phenomena. In this paper, we propose a model based on WSN for the supervision of agricultural data. We investigate the impact of deterministic, random, and selective CH routing protocols on the network’s lifetime, residual energy, and exchanged information quantity. The deterministic CH protocol showed significant results in terms of the number of functional nodes and the energy consumption in the network. Thus, the selective CH protocol outperformed both protocols regarding the quantity of exchanged data in the network.

[1]  Xuxun Liu,et al.  An Optimal-Distance-Based Transmission Strategy for Lifetime Maximization of Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[2]  Vinu Sundararaj,et al.  An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks , 2018, Comput. Secur..

[3]  Lei Shu,et al.  Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies , 2021, IEEE/CAA Journal of Automatica Sinica.

[4]  Mohammed Abo-Zahhad,et al.  ARBIC: An Adjustable Range Based Immune hierarchy Clustering protocol supporting mobility of Wireless Sensor Networks , 2018, Pervasive Mob. Comput..

[5]  Abdelilah Jilbab,et al.  Machine learning-based edge-computing on a multi-level architecture of WSN and IoT for real-time fall detection , 2020, IET Wirel. Sens. Syst..

[6]  Rajendra Prasad Mahapatra,et al.  Descendant of LEACH Based Routing Protocols in Wireless Sensor Networks , 2015 .

[7]  Jiannong Cao,et al.  Maximizing network lifetime based on transmission range adjustment in wireless sensor networks , 2009, Comput. Commun..

[8]  Vishwa Teja Alaparthy,et al.  A Multi-Level Intrusion Detection System for Wireless Sensor Networks Based on Immune Theory , 2018, IEEE Access.

[9]  Rachid Zagrouba,et al.  Comparative Study of Energy Efficient Routing Techniques in Wireless Sensor Networks , 2021, Inf..

[10]  Radosveta Sokullu,et al.  An IoT-based greenhouse monitoring system with Micaz motes , 2017, EUSPN/ICTH.

[11]  Doko Bandur,et al.  An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture , 2019, Comput. Electron. Agric..

[12]  Raed M. Bani Hani,et al.  A Survey on LEACH-Based Energy Aware Protocols for Wireless Sensor Networks , 2013, J. Commun..

[13]  Jaime Lloret,et al.  Optimized Cluster-Based Dynamic Energy-Aware Routing Protocol for Wireless Sensor Networks in Agriculture Precision , 2020, J. Sensors.

[14]  Vishal Sharma,et al.  A survey on LEACH and other’s routing protocols in wireless sensor network , 2016 .

[15]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[16]  Jean-Marie Bonnin,et al.  Wireless sensor networks: a survey on recent developments and potential synergies , 2013, The Journal of Supercomputing.

[17]  Nick Harris,et al.  Review: The impact of agricultural activities on water quality: A case for collaborative catchment-scale management using integrated wireless sensor networks , 2013 .