A collaborative WSN-IoT-Animal for large-scale data collection

被引:2
作者
Aziz, Hamayadji Abdoul [1 ,2 ]
Ari, Ado Adamou Abba [1 ,2 ]
Njoya, Arouna Ndam [3 ]
Djedouboum, Asside Christian [1 ,4 ]
Mohamadou, Alidou [1 ]
Thiare, Ousmane [5 ]
机构
[1] Univ Maroua, LaRI Lab, Maroua, Cameroon
[2] Univ Garoua, Inst Fine Arts & Innovat, CREAT Lab, Garoua, Cameroon
[3] Univ Ngaoundere, Univ Inst Technol, Dept Comp Engn, Ngaoundere, Cameroon
[4] Univ Moundou, Dept Comp Sci & Telecommun, Moundou, Chad
[5] Gaston Berger Univ St Louis, Dept Comp Sci, St Louis, Senegal
关键词
IoT and mobile communications; networks and telematics; smart cities applications; CLUSTERING PROTOCOL;
D O I
10.1049/smc2.12089
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, large-scale data collection systems have developed rapidly in many fields, including agriculture, transport and many others. The internet of things (IoT), whose main platform is wireless sensor networks (WSNs), is behind this development. Comprising thousands of sensors of different kinds, their main purpose is to collect and transmit data. Several data collection techniques have been proposed, including static, mobile and hybrid approaches. The challenges faced by these techniques are considerable, and include energy conservation, planning and trajectory optimisation during data collection, most importantly, the challenges related to the communication between the static sensors generally distributed in a more or less large geographical space and the mobile data collection system (UAV, vehicle, robot etc.). Not to mention the cost, which remains enormous for the agricultural sectors. A hybrid WSN-IoT-Animal that is self-configured to improve data acquisition over large agricultural areas is presented. The main objective and originality of the heterogeneous semi-modern scheme proposed here oscillating between traditional agriculture and precision agriculture is the use of animals as data collection tools. The main contribution here is the design of a simple and efficient model of data collection that is easily accessible by farmers by adapting the available resources. This model describes and adopts a sensor deployment method based on the notion of the hypergraph, which provides adequate coverage and ensures communication between the mobile sink and a subset of peripheral sensors chosen in alternation. Simulation results verify the effectiveness of the proposed protocol in terms of network lifetime compared to other works. In addition, the amount of data received by the mobile sink demonstrates the importance of this approach in terms of connectivity for large-scale data collection. The authors have focused on the proposal of a collaborative WSN-IoT-Animal system whose objective is to propose an alternative approach to UAV and to address the WSN lifetime problem by adopting a clustering approach based on the notion of hypergraph. image
引用
收藏
页码:372 / 386
页数:15
相关论文
共 39 条
[1]   An improved energy efficient system for IoT enabled precision agriculture [J].
Agrawal, Himanshu ;
Dhall, Ruchi ;
Iyer, K. S. S. ;
Chetlapalli, Vijayalakshmi .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (06) :2337-2348
[2]   Intelligent Traffic Management and Load Balance Based on Spike ISDN-IoT [J].
Al-Jamali, Nadia Adnan Shiltagh ;
Al-Raweshidy, Hamed S. .
IEEE SYSTEMS JOURNAL, 2021, 15 (02) :1640-1651
[3]   Energy-Efficient Edge-Fog-Cloud Architecture for IoT-Based Smart Agriculture Environment [J].
Alharbi, Hatem A. ;
Aldossary, Mohammad .
IEEE ACCESS, 2021, 9 :110480-110492
[4]  
Ayadi H, 2015, I C SCI TECH AUTO CO, P722, DOI 10.1109/STA.2015.7505190
[5]   WHISPER: A Location Privacy-Preserving Scheme Using Transmission Range Changing for Internet of Vehicles [J].
Babaghayou, Messaoud ;
Labraoui, Nabila ;
Abba Ari, Ado Adamou ;
Ferrag, Mohamed Amine ;
Maglaras, Leandros ;
Janicke, Helge .
SENSORS, 2021, 21 (07)
[6]   Joint Position and Travel Path Optimization for Energy Efficient Wireless Data Gathering Using Unmanned Aerial Vehicles [J].
Ben Ghorbel, Mahdi ;
Rodriguez-Duarte, David ;
Ghazzai, Hakim ;
Hossain, Md. Jahangir ;
Menouar, Hamid .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) :2165-2175
[7]   Development and Implementation of a Hybrid Wireless Sensor Network of Low Power and Long Range for Urban Environments [J].
Bravo-Arrabal, Juan ;
Fernandez-Lozano, J. J. ;
Seron, Javier ;
Gomez-Ruiz, Jose Antonio ;
Garcia-Cerezo, Alfonso .
SENSORS, 2021, 21 (02) :1-27
[8]   On semantic clustering and adaptive robust regression based energy-aware communication with true outliers detection in WSN [J].
Chowdhury, Srijit ;
Roy, Ambarish ;
Benslimane, Abderrahim ;
Giri, Chandan .
AD HOC NETWORKS, 2019, 94
[9]   Energy Efficient Resource Allocation Algorithm for Agriculture IoT [J].
Dhaya, R. ;
Kanthavel, R. .
WIRELESS PERSONAL COMMUNICATIONS, 2022, 125 (02) :1361-1383
[10]  
Farooq H., 2020, ANN EMERGING TECHNOL