Clustering-based heterogeneous optimized-HEED protocols for WSNs

Gupta, Prateek; Sharma, Ajay K.

doi:10.1007/s00500-019-04000-8

Cited by 30 publications

(19 citation statements)

References 43 publications

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“…Other routing protocols for heterogeneous WSNs are proposed. In other works, 22,23 new routing protocols are proposed to be suitable for both homogeneous and heterogeneous WSNs. In a study by Gupta and Sharma, 22 a new extension of ICHB algorithm (Modified ICHB [M-ICHB]) is proposed to improve the energyefficient performance of WSN.…”

Section: Related Workmentioning

confidence: 99%

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Hamad

Dağ

Gucluoglu

2022

Int J Communication

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Summary Internet of things (IoT) applications based on wireless sensor networks (WSNs) have recently gained vast momentum. These applications vary from health care, smart cities, and military applications to environmental monitoring and disaster prevention. As a result, energy consumption and network lifetime have become the most critical research area of WSNs. Through energy‐efficient routing protocols, it is possible to reduce energy consumption and extend the network lifetime for WSNs. Using hybrid routing protocols that incorporate multiple transmission methods is an effective way to improve network performance. This paper proposes modulated R‐SEP (MR‐SEP) for large‐scale WSN‐based IoT applications. MR‐SEP is based on the well‐known stable election protocol (SEP). MR‐SEP defines three initial energy levels for the nodes to improve the network energy distribution and establishes multi‐hop communication between the cluster heads (CHs) and the base station (BS) through relay nodes (RNs) to reduce the energy consumption of the nodes to reach the BS. In addition, MR‐SEP reduces the replacement frequency of CHs, which helps increase network lifetime and decrease power consumption. Simulation results show that MR‐SEP outperforms SEP, LEACH, and DEEC protocols by 70.2%, 71.58%, and 74.3%, respectively, in terms of lifetime and by 86.53%, 86.68%, and 86.93% in terms of throughput.

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Section: Related Workmentioning

confidence: 99%

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Hamad

Dağ

Gucluoglu

2022

Int J Communication

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“…1]. Quality of service (QoS) aware energy balancing routing scheme has been proposed for WSN using ant colony optimization [12].…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, wireless sensor networks (WSNs) have gained greater attention in various fields such as environmental monitoring, military surveillance, agricultural, transportation, agricultural, industrial, and other applications [1]. In WSN, the small sensor nodes (SNs) are called motes that are used to observe physical phenomena like humidity, temperature, etc.…”

Section: Introductionmentioning

confidence: 99%

“…The lifetime of WSN has been enhanced by optimized clustering and rankingbased CH selection by using multiple parameters [11]. Based on the optimal energy used, the source hubs interface with CH using individual or multihop communication [ 1]. Quality of service (QoS) aware energy balancing routing scheme has been proposed for WSN using ant colony optimization [12].…”

Section: Introductionmentioning

confidence: 99%

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An energy‐efficient clustering and cross‐layer‐based opportunistic routing protocol (CORP) for wireless sensor network

Shanmugam

Baskaran

2021

Int J Communication

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Summary Energy‐efficient data collection is a significant research challenge in wireless sensor networks (WSNs). One of the essential approaches to improve WSN performance is clustering, routing, and denoising technique. Cluster head (CH) selection is an essential issue in WSN. The present work proposes cross‐layer‐based opportunistic routing protocol (CORP) for WSN. The proposed CORP approach has been used to find an optimal traversal path, which reduces computation time and energy consumption as well as improves data delivery reliability. For optimal clustering, K‐medoid with adaptive Harris hawk optimization algorithm (AHHO) has been utilized for clustering the sensor nodes. Quality of service (QoS) impact, energy status criteria, distance, and sensor nodes position have been considered as key factors. These factors can influence the selection of CH in WSN. Moreover, the CH selection method can minimize traffic and energy saving. For efficient data collection, a hybrid Variable Weighted stacked Autoencoder with adaptive sunflower optimization (VWAE‐ASFO) denoising technique has been intended for reducing the data error rate. Initially, in the data collection phase, the variable weighted stacked autoencoder senses the data and collects all the data from the network. Adaptive sunflower optimization algorithm (ASFO) updates the weight of VWAE to minimize the data error and model complexity. The simulation results demonstrate that the proposed CORP approach enhances QoS performance metrics such as energy consumption, packet delivery ratio, packet delay, network lifetime, throughput, jitter, buffer occupancy, and packet loss ratio. When the performance of the proposed approach is compared with the existing algorithms such as HEED, TCBDGA, FRLDG, MOBFO‐EER, and FEEC‐IIR, the proposed approach outperforms them.

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“…Zhou et al proposed a hybrid architecture of distributed remote radio heads and a centralized baseband unit to improve the quality of service and conserve the energy in the network. It is noted that implementing the complex interference scenarios is challenging and takes more time for decision-making [ 29 ]. Moreover, the sensor devices can generate redundant data that may not have any useful information, all of which is forwarded to the DODAG root.…”

Section: Introductionmentioning

confidence: 99%

CT-RPL: Cluster Tree Based Routing Protocol to Maximize the Lifetime of Internet of Things

Sankar¹,

Ramasubbareddy

Luhach

et al. 2020

Sensors

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Energy conservation is one of the most critical challenges in the Internet of Things (IoT). IoT devices are incredibly resource-constrained and possess miniature power sources, small memory, and limited processing ability. Clustering is a popular method to avoid duplicate data transfer from the participant node to the destination. The selection of the cluster head (CH) plays a crucial role in gathering and aggregating the data from the cluster members and forwarding the data to the sink node. The inefficient CH selection causes packet failures during the data transfer and early battery depletion nearer to the sink. This paper proposes a cluster tree-based routing protocol (CT-RPL) to increase the life span of the network and avoid the data traffic among the network nodes. The CT-RPL involves three processes, namely cluster formation, cluster head selection, and route establishment. The cluster is formed based on the Euclidean distance. The CH selection is accomplished using a game theoretic approach. Finally, the route is established using the metrics residual energy ratio (RER), queue utilization (QU), and expected transmission count (ETX). The simulation is carried out by using a COOJA simulator. The efficiency of a CT-RPL is compared with the Routing Protocol for Low Power and Lossy Networks (RPL) and energy-efficient heterogeneous ring clustering routing (E2HRC-RPL), which reduces the traffic load and decreases the packet loss ratio. Thus, the CT-RPL enhances the lifetime of the network by 30–40% and the packet delivery ratio by 5–10%.

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Clustering-based heterogeneous optimized-HEED protocols for WSNs

Cited by 30 publications

References 43 publications

Modulated relay based stable election protocol for large‐scale wireless sensor networks

Modulated relay based stable election protocol for large‐scale wireless sensor networks

An energy‐efficient clustering and cross‐layer‐based opportunistic routing protocol (CORP) for wireless sensor network

CT-RPL: Cluster Tree Based Routing Protocol to Maximize the Lifetime of Internet of Things

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