Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs)

Effah, Emmanuel; Thiaré, Ousmane

doi:10.1007/978-3-030-39445-5_25

Cited by 9 publications

(74 citation statements)

References 17 publications

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“…The evaluated performance of the proposed EESFTR protocol has been compared with that of the existing routing models in the literature. FTLEACH [8], HEED-FT [11], EABC-EELB-PWDGR [17] (referred to as EABC-PWDGR in graphs), PSO-FTR [18] and RCEEFT [26] have been compared with the proposed EESFTR in terms of end-to-end delay, time cost, energy consumption, lifetime, number of surviving nodes, packet delivery ratio, packet drop and hop count.…”

Section: Resultsmentioning

confidence: 99%

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Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

2021

IJIES

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Section: Resultsmentioning

confidence: 99%

“…However, this approach is complex and also degrades the overall QoS. Effah and Thiare [26] presented Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol using effective spatial correlation and Mass Measurement. However, in large scale WSNs, this model lacks effective distant-hop communication.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

2021

IJIES

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“…For instance, the authors in [2,6,7] examined IoT's communication infrastructure, platforms, standards, development trends, and possible network solutions in agriculture. Similarly, the roles of industrial IoT (thus, identification-based IoT (example, RFID [6], WSN [9], QR codes [5], barcodes) and communication-based IoT (example, ZigBee [5], Z-wave [6], MQTT [5,6], LoRa [10], SigFox [11], BLE [12], Li-Fi [5], Wi-Fi [13], Near-Field Communication (NFC) [5], and power line area network) were reviewed in terms of current research trends, applications, and main challenges in [5]. Although RFID tags and WSNs have similar data acquisition capacities, the authors concluded that WSN technology is more energy-efficient and suitable for Agri-IoT than the costly RFID technologies [5].…”

Section: Introduction and Tutorial Contributionsmentioning

confidence: 99%

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Effah

Thiaré

Wyglinski

2023

IoT

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This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a systematic survey and synthesis of the related literature. The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality. However, most related Agri-IoT testbed solutions have failed to achieve their performance expectations due to the lack of an in-depth and contextualized reference tutorial that provides a holistic overview of communication technologies, routing architectures, and performance optimization modalities based on users’ expectations. Thus, although IoT applications are founded on a common idea, each use case (e.g., Agri-IoT) varies based on the specific performance and user expectations as well as technological, architectural, and deployment requirements. Likewise, the agricultural setting is a unique and hostile area where conventional IoT technologies do not apply, hence the need for this tutorial. Consequently, this tutorial addresses these via the following contributions: (1) a systematic overview of the fundamental concepts, technologies, and architectural standards of WSN-based Agri-IoT, (2) an evaluation of the technical design requirements of a robust, location-independent, and affordable Agri-IoT, (3) a comprehensive survey of the benchmarking fault-tolerance techniques, communication standards, routing and medium access control (MAC) protocols, and WSN-based Agri-IoT testbed solutions, and (4) an in-depth case study on how to design a self-healing, energy-efficient, affordable, adaptive, stable, autonomous, and cluster-based WSN-specific Agri-IoT from a proposed taxonomy of multi-objective optimization (MOO) metrics that can guarantee an optimized network performance. Furthermore, this tutorial established new taxonomies of faults, architectural layers, and MOO metrics for cluster-based Agri-IoT (CA-IoT) networks and a three-tier objective framework with remedial measures for designing an efficient associated supervisory protocol for cluster-based Agri-IoT networks.

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“…The network is partitioned into small areas in the clustering algorithm, and each part is controlled and regulated by the cluster head (CH). This is responsible for compressing the collected data and transmitting it to the base station through a single hop or multi-hop that can be linked to a powerful device over the internet or a satellite of the information sensed by the area nodes [12][13][14][15][16]. The clustering protocols saves resources to extend the network's lifespan [16].…”

Section: Introductionmentioning

confidence: 99%

“…That can also be a realistic attribute for large sensor networks, since the cluster heads are easier to handle than the whole network. Multiple clustering routing protocols using multi-paths have been proposed on the basis of load balancing according to the following order LEACH [16][17][18][19], DEEC [12,15,16]. The clustering protocols can be divided into two types: the clustering algorithm with homogeneous schemes in which all the sensor nodes have the same initial energy; and the heterogeneous clustering protocols in which all the sensor nodes are delivered with a different amount of power at network startup [18].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of hierarchical clustering protocols with fuzzy C-means

Barkouk

En-Naimi

Mahboub

2021

IJECE

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The longevity of the network and the lack of resources are the main problems within the WSN. Minimizing energy dissipation and optimizing the lifespan of the WSN network are real challenges in the design of WSN routing protocols. Load balanced clustering increases the reliability of the system and enhances coordination between different nodes within the network. WSN is one of the main technologies dedicated to the detection, sensing, and monitoring of physical phenomena of the environment. For illustration, detection, and measurement of vibration, pressure, temperature, and sound. The WSN can be integrated into many domains, like street parking systems, smart roads, and industrial. This paper examines the efficiency of our two proposed clustering algorithms: Fuzzy C-means based hierarchical routing approach for homogeneous WSN (F-LEACH) and fuzzy distributed energy efficient clustering algorithm (F-DEEC) through a detailed comparison of WSN performance parameters such as the instability and stability duration, lifetime of the network, number of cluster heads per round and the number of alive nodes. The fuzzy C-means based on hierarchical routing approach is based on fuzzy C-means and low-energy adaptive clustering hierarchy (LEACH) protocol. The fuzzy distributed energy efficient clustering algorithm is based on fuzzy C-means and design of a distributed energy efficient clustering (DEEC) protocol. The technical capability of each protocol is measured according to the studied parameters.

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Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs)

Cited by 9 publications

References 17 publications

Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

Fuzzy Logic and Modified Butterfly Optimization with Efficient Fault Detection and Recovery Mechanisms for Secured Fault-Tolerant Routing in Wireless Sensor Networks

A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization

Performance evaluation of hierarchical clustering protocols with fuzzy C-means

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