A new fuzzy logic approach for reliable communications in wireless underground sensor networks

Sambo, Damien Wohwe; Yenké, Blaise Omer; Förster, Anna; Ndong, Jospeh; Dayang, Paul; Sarr, Idrissa

doi:10.1007/s11276-022-03008-7

Cited by 10 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results are possible because of its simplicity, which allows its rapid conception, adaptability to the uncertainty of incomplete information and the small dataset required for its implementation. Furthermore, as shown in [30], the computational cost for fuzzy-based systems can be constant, thus, no additional computation is needed regardless of the number of inputs. The present paper improve our previous work [30] that discussed the possible use of fuzzy logic for reliable wireless underground communications.…”

Section: Motivationmentioning

confidence: 99%

“…Furthermore, as shown in [30], the computational cost for fuzzy-based systems can be constant, thus, no additional computation is needed regardless of the number of inputs. The present paper improve our previous work [30] that discussed the possible use of fuzzy logic for reliable wireless underground communications.…”

Section: Motivationmentioning

confidence: 99%

“…During the defuzzi ication process, the output of the FIS is a fuzzy set that represents the degree of membership of the input variables. From the two famous FIS in the literature and from Section 2.2, the Sugeno-type is more suitable for low-power and automated decision-making system due to his simple defuzzi ication process [30].…”

Section: Overview Of a Fuzzy Inference Systemmentioning

confidence: 99%

“…For example, we have observed that when the linear distance between nodes is small (less than 7m), underground communications are reliable with very few lost packets. The range value of the distance between the transmitter and receiver (up to 30m) depends on our previous results [3,30] and the dataset [31]. During the fuzzi ication process, the membership degree of each input parameter 𝑥 of the proposed FIS is evaluated according to Table 2.…”

Section: The Fuzzy-based Approach For Reliable Transmissionmentioning

confidence: 99%

“…Thus, when the calculated probability is less than or equal to 0.5, we assume that the packet to be sent will be received (reception), otherwise the packet will be lost, so the transmission can be avoided. In addition, as it is shown in [30], the crisp output can easily be obtained by merging several If-then rules without any computation, thus obtaining a constant complexity (𝒪(1)).…”

Section: The Fuzzy-based Approach For Reliable Transmissionmentioning

confidence: 99%

See 4 more Smart Citations

FuzDeMa: A portable fuzzy-based decision-making tool for reliable communication in wireless underground sensor networks

Damien Wohwe Sambo,

Jens Dede,

Nathalie Mitton

et al. 2023

ITU J-FET

View full text Add to dashboard Cite

The deployment and the exploitation of a Wireless Underground Sensor Network (WUSN) remain challenging because of signal attenuation in the soil and the limited battery that powers the sensor nodes. Due to the attenuation of the signal in the ground, the reception or loss of the sent data depends on the ground conditions, which can change dynamically. However, in existing WUSNs, each node sends the data collected in each round regardless of the signal attenuation. It is well demonstrated that sensor nodes consume the most energy during transmission. Obviously, transmission without receiving any data significantly reduces the lifetime of a sensor node useless. This paper presents a novel fuzzy-based decision-making solution called FuzDeMa that reduces energy consumption by anticipating data losses before transmission. To do so, FuzDeMa assesses in real time the loss or the reception of a packet according to the in-situ node's environments before its transmission and decides whether to send or not the packet based on the computed reliability. To validate the proposed approach, we embed it into a dedicated underground node called the MoleNet and realized real experimentations firstly with an existing dataset and secondly, with precision-measuring equipment to estimate the energy consumption. The results revealed the possibility of prolonging the lifetime of the sensor node by saving up to 81.7876 microjoules in a single round. Additionally, FuzDeMa shows the ability to save energy for up to 46 of additional revolutions, thus extending the life of the sensor node to 32.85% for 140 real transmission cycles. An analytical generalization of FuzDeMa is provided regardless of a specific dataset or sensor node. Thus, we provided the conditions for a random dataset to save the energy with any sensor node that implements FuzDeMa during transmissions.

show abstract

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Overview Of a Fuzzy Inference Systemmentioning

confidence: 99%

Section: The Fuzzy-based Approach For Reliable Transmissionmentioning

confidence: 99%

Section: The Fuzzy-based Approach For Reliable Transmissionmentioning

confidence: 99%

See 3 more Smart Citations