IIUM Repository

Self-Organized Wireless Sensor Network (SOWSN) for dense jungle applications

Hakim, Galang Persada Nurani and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul and Alghaihab, Abdullah and Yusoff, Siti Hajar and Adesta, Erry Yulian Triblas (2023) Self-Organized Wireless Sensor Network (SOWSN) for dense jungle applications. IEEE Access. E-ISSN 2169-3536

[img] PDF - Published Version
Restricted to Registered users only

Download (314kB) | Request a copy
[img] PDF - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy


To facilitate wireless sensor networks deployment in dense jungle environments, the challenges of unreliable wireless communication links used for routing data between nodes and the gateway, and the limited battery energy available from the nodes must be overcome. In this paper, we introduce the SelfOrganized Wireless Sensor Network (SOWSN) to overcome these challenges. To develop the traits needed for such SOWSN nodes, three types of computational intelligence mechanisms have been featured in the design. The first feature is the introduction of Multi Criteria Decision Making (MCDM) algorithm with simple Additive Weight (SAW) function for clustering the SOWSN nodes. The second feature is the introduction of the fuzzy logic ANFIS-optimized Near Ground Propagation Model to predict the wireless transmission link quality and power transfer between transmitters. The third feature is the introduction of the (Levenberg Marquardt artificial neural network (LM-ANN) for Adaptive Dynamic Power Control to further optimize the transmitter power levels, radio modulation, Spreading Factor configurations, and settings of the employed SOWSN LoRaWAN nodes based on predicted wireless transmission link quality parameters. The introduced features were extensively evaluated and analyzed using simulation and empirical measurements. Using clustering, near-ground propagation, and adaptive transmission power control features, a robust wireless data transmission system was built while simultaneously providing power conservation in SOWSN operation. The payload loss can be improved using SAW clustering from 1275 bytes to 5100 bytes. The result of power conservation can be seen from the reduction of transmission power in SOWSN nodes with the increase of transmission time (TOA) as its side effect. With the original power transmission at 20 dBm, original TOA time at 96.832 milliseconds for all nodes, and SNR 3 as input, transmission power was reduced to 12.76 dBm and the TOA increased to 346.78 milliseconds for all nodes.

Item Type: Article (Journal)
Uncontrolled Keywords: Self Organized WSN; Cluster Routing; ANFIS; Transmit Power Control; SAW; Routing
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohamed Hadi Habaebi
Date Deposited: 13 Oct 2023 16:29
Last Modified: 07 Dec 2023 11:25
URI: http://irep.iium.edu.my/id/eprint/107468

Actions (login required)

View Item View Item


Downloads per month over past year