WSN’s Life-Time Improvement Passing from Hierarchical to Hybrid Routing Techniques: A Comparative Study

Qabouche, Hicham; Sahel, Aïcha; Badri, Abdelmajid

doi:10.1007/978-3-030-62199-5_38

Cited by 2 publications

(1 citation statement)

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“…Many wireless communication radio propagation models anticipate signal strength degradation with distance d. In this paper we will use both free space propagation model and multipath propagation model depending on transmission distance as described in [28]. The energy consumed for transmission E tx and for ❒ ISSN: 2088-8708 reception E rx are expressed in ( 1) and (2) [28], [29]:…”

Section: Radio Modelmentioning

confidence: 99%

Novel reliable and dynamic energy-aware routing protocol for large scale wireless sensor networks

Qabouche

Sahel

Badri

et al. 2022

IJECE

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<p>Wireless sensor networks (WSN) are made up of an important number of sensors, called nodes, distributed in random way in a concerned monitoring area. All sensor nodes in the network are mounted with limited energy sources, which makes energy harvesting on top of the list of issues in WSN. A poor communication architecture can result in excessive consumption, reducing the network lifetime and throughput. Centralizing data collection and the introduction of gateways (GTs), to help cluster heads (CHs), improved WSN life time significantly. However, in vast regions, misplacement and poor distribution of GTs wastes a huge amount of energy and decreases network’s performances. In this work, we describe a reliable and dynamic with energy-awareness routing (RDEAR) protocol that provides a new GT’s election approach taking into consideration CHs density, transmission distance and energy. Applied on 20 different networks, RDEAR reduced the overall energy consumption, increased stability zone and network life time as well as other compared metrics. Our proposed approach increased network’s throughput up to 75.92% , 67.7% and 9.78% compared to the low energy adaptive clustering hierarchy (LEACH), distributed energy efficient clustering (DEEC) and static multihop routing (SMR), protocols, respectively.</p>

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Section: Radio Modelmentioning

confidence: 99%