Improved Strategies of LEACH-based Low Energy Consumption and High Reliable Multi-hop Routing Algorithm for Wireless Sensor Network

Guo, Linfeng; Liu, Jiayan; Qin, Peng; Zhao, Xiongwen; Ma, Hongwei; Chi, Zhongjun

doi:10.1109/iccc51575.2020.9345136

Cited by 3 publications

(4 citation statements)

References 12 publications

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“…Many studies have been dedicated to implementing energyefficient routing protocols and/or improve the ones already in existence [47]. RPL [23], Low-Energy Adaptive Clustering Hierarchy (LEACH) [24], distributed energy-efficient clustering (DEEC) and Threshold Sensitive Energy Efficient sensor Network (TEEN) [25] are the popular used energy saving protocols in WSNs. The authors of [24] present an improved hierarchical LEACH protocol to conserve energy and.…”

Section: ) Energy-efficient Routing Protocolsmentioning

confidence: 99%

“…RPL [23], Low-Energy Adaptive Clustering Hierarchy (LEACH) [24], distributed energy-efficient clustering (DEEC) and Threshold Sensitive Energy Efficient sensor Network (TEEN) [25] are the popular used energy saving protocols in WSNs. The authors of [24] present an improved hierarchical LEACH protocol to conserve energy and. The TEEN protocol is proposed in [25].…”

Section: ) Energy-efficient Routing Protocolsmentioning

confidence: 99%

“…In the present work, we use the low energy adaptive clustering hierarchy (LEACH) algorithm [24]. This is the original and illustrative of all the hierarchical topology control algorithms.…”

Section: A Wsn Topologymentioning

confidence: 99%

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Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Loukil

2023

IEEE Access

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Currently, we are witnessing a wide range of Wireless Sensor Networks (WSNs) in various fields of application. In most cases, these networks contain numerous battery-powered sensor nodes. Therefore, the lifetime of WSNs is intrinsically dependent. For this purpose, different studies have been conducted to reduce the power consumption. We propose a new technique for reducing the power consumption of clustered WSNs. We considered clusters in which sensors transmitted data to a Cluster Head (CH) by cooperative communication based on the Bit Error Probability (BEP) criterion for the multi-relay technique. Therefore, the proposed technique uses a multi-relay to reduce the transmission power to communicate between the source and destination which respects the predefined reliability level. The proof of the described technique was performed using a multiprocessor architecture. Second, we used an efficient software/hardware (Sw/Hw) architecture that utilized accelerator modules. The experimental results demonstrate significant gains in terms of energy consumption and workload compared to the SW implementation.

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Section: ) Energy-efficient Routing Protocolsmentioning

confidence: 99%

Section: ) Energy-efficient Routing Protocolsmentioning

confidence: 99%

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Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Loukil

2023

IEEE Access

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“…Since a WSN could be in the order of hundreds or thousands of SNs, scalable mechanisms are to be employed to help WSNs adapt to number and density Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, volume: 5, number: 4 (December), pp. of SNs [38,13,17]. Because each SN has limited power resources and may not be rechargeable, effective power-saving mechanisms are needed to extend network lifetime [19,9,47].…”

mentioning

confidence: 99%

Adaptive Probabilistic Model for Energy-Efficient Distance-based Clustering in WSNs (Adapt-P): A LEACH-based Analytical Study

Suleiman,

Hamdan

2021

Preprint

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Network lifetime and energy consumption of data transmission have been primary Quality of Service (QoS) obligations in Wireless Sensor Networks (WSNs). The environment of a WSN is often organized into clusters to mitigate the management complexity of such obligations. However, the distance between Sensor Nodes (SNs) and the number of clusters per round are vital factors that affect QoS performance of a WSN. The designer's conundrum resolves around the desire to sustain a balance between the limited residual energy of SNs and the demand for prolonged network lifetime. Any imbalance in controlling conflicting objectives may result in either QoS penalties due to draining SN energies which leaves WSN's environment unevenly covered, or an over-cost environment that is significantly difficult to distribute and operate. Low-Energy Adaptive Clustering Hierarchy (LEACH) is a well-known distributed clustering algorithm proposed to tackle such difficulties. Multiple LEACH-based algorithms have also been proposed to enhance QoS requirements. Proposed algorithms typically focus on residual energies of SNs to compute a probability function that selects cluster-heads. Some algorithms form an optimal energy-efficient path toward a destination SN. Nevertheless, these algorithms do not consider variations in network's state at run-time. Such a state changes in an adaptive manner according to existing network structures and conditions. Thus, cluster-heads per round are not elected adaptively depending on the state and distances between SNs. To tackle such complications, this paper proposes an energy-efficient adaptive distance-based clustering called Adapt-P, in which an adaptive probability function is developed to formulate clusters. A near-optimal distance between each cluster-head and its cluster-members is formulated so that energy consumption of the network is mitigated and accordingly the network lifetime is maximized. Distances between and residual energies of SNs are employed to obtain a maximum number of cluster-heads to be elected per round. The cluster-head selection probability is adapted at the end of each round based on the maximum number of cluster-heads permitted per round found a priori and the number of existing alive SNs in the network. The Adapt-P based algorithms proposed in this paper improve the performance of LEACH algorithm in term adaptivity and network lifetime.

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MSP: Max Stable Protocol for Wireless Sensor Networks (WSNs)

Djabour,

Abidi,

Boudhiafi

et al. 2023

Wireless Pers Commun

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Improved Strategies of LEACH-based Low Energy Consumption and High Reliable Multi-hop Routing Algorithm for Wireless Sensor Network

Cited by 3 publications

References 12 publications

Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Adaptive Probabilistic Model for Energy-Efficient Distance-based Clustering in WSNs (Adapt-P): A LEACH-based Analytical Study

MSP: Max Stable Protocol for Wireless Sensor Networks (WSNs)

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