FEQRP: a Fuzzy based Energy-efficient and QoS Routing Protocol over WSNs

Al-Quh, Ahmed Hamood M.; Ismail, Prof. Imane Aly Saroit; Kotb, Dr. Amira Mohammed

doi:10.9790/0661-1804057989

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…FEQRP 65 uses a nonlinear setting method to maximize network life and achieve a balanced power load within the SN. Its functions are divided into three categories.…”

Section: Optimized Rp In Wsnsmentioning

confidence: 99%

Computational intelligence techniques for energy efficient routing protocols in wireless sensor networks: A critique

Lakshmi,

Ramana,

Ramu

et al. 2023

Trans Emerging Tel Tech

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Wireless Sensor Networks (WSNs) play a pivotal role in modern data acquisition systems, but their energy‐efficient operation remains a significant challenge. This work provides a concise overview of the key challenges and proposed solutions discussed in the context of energy‐efficient routing protocols for WSNs based on a systematic literature review. The need for fault tolerance to ensure network resilience is vital, given the limited resources and environmental challenges faced by sensor nodes. This work emphasizes the importance of addressing several open research questions, including the integration of diverse topologies, cross‐layer routing, and the use of multiple mobile sinks. Additionally, it highlights the need for QoS‐aware routing for real‐time applications, mathematical modeling for protocol evaluation, and the challenges of testing routing protocols on real hardware. Furthermore, this article suggests leveraging the RPL routing protocol with the Node‐based Metric RNE for enhanced energy efficiency and explores the promising field of hierarchical routing protocols, exemplified by the LEACH protocol and its variants. This work serves as a roadmap for researchers and practitioners, identifying critical challenges and proposing directions for future research to achieve energy‐efficient routing protocols in WSNs, ultimately enabling effective communication in resource‐constrained environments.

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“…FEQRP 65 uses a nonlinear setting method to maximize network life and achieve a balanced power load within the SN. Its functions are divided into three categories.…”

Section: Optimized Rp In Wsnsmentioning

confidence: 99%

Computational intelligence techniques for energy efficient routing protocols in wireless sensor networks: A critique

Lakshmi,

Ramana,

Ramu

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The input variables are fed to the designed fuzzy inference system, and IF-THEN rules are applied to calculate rank and competition radius, which are described in Table 3. Here, the Mamdani Inference method [33] is applied, which is most commonly used [19,34] because of its simplicity and characteristics.…”

Section: Selection Of Chmentioning

confidence: 99%

E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

Mehra

2021

Complex Intell. Syst.

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With huge cheap micro-sensing devices deployed, wireless sensor network (WSN) gathers information from the region and delivers it to the base station (BS) for further decision. The hotspot problem occurs when cluster head (CH) nearer to BS may die prematurely due to uneven energy depletion resulting in partitioning the network. To overcome the issue of hotspot or energy hole, unequal clustering is used where variable size clusters are formed. Motivated from the aforesaid discussion, we propose an enhanced fuzzy unequal clustering and routing protocol (E-FUCA) where vital parameters are considered during CH candidate selection, and intelligent decision using fuzzy logic (FL) is taken by non-CH nodes during the selection of their CH for the formation of clusters. To further extend the lifetime, we have used FL for the next-hop choice for efficient routing. We have conducted the simulation experiments for four scenarios and compared the propound protocol’s performance with recent similar protocols. The experimental results validate the improved performance of E-FUCA with its comparative in respect of better lifetime, protracted stability period, and enhanced average energy.

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