A multi-tier based clustering framework for scalable and energy efficient WSN-assisted IoT network

Shukla, Anurag; Tripathi, Sarsij

doi:10.1007/s11276-020-02277-4

Cited by 54 publications

(37 citation statements)

References 28 publications

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“…In the initial stage of this work, the nodes are clustered using one hop and roughed using EANN-GOA. SEEP [21], EACRP [22], ME-CBCCP [23], and TDEEC [24] are then compared in terms of network throughput, endto-end delay, packet delivery ratio, network lifetime, energy consumption, and scalability. refers to the total amount of time it takes to complete a cooperative relay transmission.…”

Section: Resultsmentioning

confidence: 99%

SSE Path Routing Protocol for WSN IOT Using Fuzzy Mean Weighted Code and Enthalpy ANN-GOA

Rani

Sharma

2021

Preprint

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Wireless Sensor Networks (WSNs) play a key role in the Internet of Things (IoT) by delivering cost-effective solutions for specific IoT applications. The amount of energy used to transport data from a sensor node to its destination is a significant consideration when developing wireless sensor network routing strategies. A variety of routing protocols are utilised in WSN to improve network performance. When a node's mode transitions from active to sleep, the efficiency declines because data packets must wait at the starting point where they were transmitted, which increases packets' waiting time and end-to-end latency, resulting in an increase in energy consumption. This study proposes the SSE Path routing protocol as a Scalable, Secure, and Energy Efficient Routing Protocol for WSN IoT. Our proposed protocol, first selecting the nodes using a single-hop clustering algorithm. Second, FMWC (Fuzzy Mean Weighted Code) based packet coded operation for the security of packet. Finally, Scalable Enthalpy Artificial Neural-Network Based Grasshopper Optimization Algorithm (EANN-GOA) algorithm for selecting the congestion-free path for transit the data packets. The experimental results revelations the dominance of presented protocol comparing with the existing protocols.

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Section: Resultsmentioning

confidence: 99%

SSE Path Routing Protocol for WSN IOT Using Fuzzy Mean Weighted Code and Enthalpy ANN-GOA

Rani

Sharma

2021

Preprint

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“…Shukla and Tripathi 20 presented a scalable and energy‐efficient routing protocol (SEEP). To reduce energy consumption, SEEP utilized a multi‐hop, hierarchical routing system.…”

Section: Related Workmentioning

confidence: 99%

Grey wolf optimization with fuzzy logic for energy‐efficient communication in wireless sensor network‐based Internet of Things scenario

Verma

Baliyan

2021

Int J Communication

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Summary Wireless sensor network is an essential building block for Internet of Things (IoT) due to its usage for collecting and sensing data by the sensor nodes in a nearby environment. Energy efficiency is an important requirement for these networks as the sensors used are short on power and memory. In this paper, an enhanced energy‐efficient clustering protocol is proposed that works on three major phases under network setup: grid formation and grid head selection, clustering, and cluster head (CH) selection. Clustering is achieved using nature‐inspired grey wolf optimization (GWO) algorithm, and CH selection is accomplished using fuzzy inference‐based system. Simulation is performed in MATLAB software, and the protocol is evaluated in terms of network lifetime, the first node dead (FND), half node dead (HND), and last node dead (LND). Additionally, a prototype modeling of IoT using the Thingspeak IoT Platform provided by Mathworks is also integrated with the proposed protocol to demonstrate its usage in IoT applications. The simulation results indicated that the proposed scheme attained better performance in preserving energy and extending network lifetime.

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“…Unlike state-of-the-art methods, the author implements a Scalable and Energy-efficient routing protocol (SEEP) (17) . SEEP uses a multitiered clustering architecture to achieve a flexible and energy-intensive network.…”

Section: Techniques In Mobile Wsn Data Collectionmentioning

confidence: 99%

A three-tier cluster-based routing protocol for mobile wireless sensor networks

Arshad¹

2020

IJST

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Background/Objectives: Based on the recent advances in the area of wireless networking, computing, and storage devices, Wireless Sensor Networks (WSN) has emerged as an evolving and future-enabled technology in recent decades. The objective of the research work is to design, analyse, and evaluate the performance of A Three-Tier Cluster-Based Routing Protocol for Mobile Wireless Sensor Networks. Methods/Statistical analysis: The proposed protocol is based on autonomous sensor nodes, distributed techniques on cluster development; cluster heads collected at random, multi-hop routing method, and transferring the data towards the base station used by the assistance of MDC maximum residual energy LEACH. Findings: WSN is used globally in different forms of networking technologies; these systems come with the ability to be applied worldwide at an unrivaled scale and to add a consistent viewpoint to production. Routing protocols in these networks act as middleware, which is responsible for enhancing the network performance with less energy consumption and the cluster-based routing protocol is a massive solution to improve node's energy efficiency and reliability of data toward the base station. Moreover, the simulation results showed that the proposed protocol achieves not only better network lifetime and data reliability but also decreased energy dissipation of the sensor nodes when compared with prominent WSN cluster-based routing protocols. Novelty/Applications: The main outcomes of MDC maximum residual energy LEACH are: Minimize the energy consumption of sensor nodes, Enhance the overall network lifetime, Resolve communication (energy and routing) holes issues, Maintain data reliability, and finally reach tradeoff between energy efficiency and latency in terms of End-to-End and channel access delays. This proposed protocol has been substantially applicable in an extensive variety of environmental and civil surveillance applications.

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A multi-tier based clustering framework for scalable and energy efficient WSN-assisted IoT network

Cited by 54 publications

References 28 publications

SSE Path Routing Protocol for WSN IOT Using Fuzzy Mean Weighted Code and Enthalpy ANN-GOA

SSE Path Routing Protocol for WSN IOT Using Fuzzy Mean Weighted Code and Enthalpy ANN-GOA

Grey wolf optimization with fuzzy logic for energy‐efficient communication in wireless sensor network‐based Internet of Things scenario

A three-tier cluster-based routing protocol for mobile wireless sensor networks

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