IAES Nawala: Optimasi energi

Salam, rekan Nawala! Semoga kalian selalu dalam keadaan sehat.

Ini adalah IAES Nawala dari Institute of Advanced Engineering and Science. Hari ini kami akan berbagi kabar mengenai optimasi energi. Optimalisasi energi mengacu pada proses peningkatan efisiensi dan meminimalkan konsumsi energi untuk mencapai hasil yang diinginkan. Patil dan Bhavikatti (2023) menyajikan mekanisme graph-based energy optimized dynamic routing (GEODR) untuk routing yang hemat energi dalam wireless sensor networks (WSNs). Mekanisme ini meningkatkan efisiensi energi dengan menggunakan pengelompokan berbasis teori graf, pemilihan cluster head (CH) berdasarkan energi sisa dan jarak, dan mobilitas sink node. Hasil penelitian menunjukkan peningkatan yang signifikan dalam efisiensi energi, dengan model untuk routing, pembentukan cluster, dan optimasi yang dibahas.

Energy aware optimized dynamic routing mechanism in wireless sensor networks

Geeta Patil, Arvind Mallikarjun Bhavikatti

A trade-off between energy efficiency and optimized routing is massively recommended for transmission efficiency enhancement in wireless sensor networks (WSNs). Therefore, in this paper, graph-based energy optimized dynamic routing (GEODR) mechanism is introduced to set up a balance between energy consumption minimization and throughput enhancement using a dynamic and optimized routing mechanism in WSNs. A clustering scheme is employed based on graph theory, and cluster boundaries are formed using distance vectors. Cluster head (CH) selection is performed based on residual energy, the distance between CHs, and the mobility of the sink node. Each cluster is scattered with multiple tiny nodes, and event monitoring is performed. A model for graph-based dynamic routing to transmit data packets, cluster and cluster boundary formation, and optimization of routing problems is discussed. The performance efficiency of the proposed GEODR mechanism is determined by taking 100 sensor nodes, and 20 nodes are selected as CHs in a sensor network, and several other network parameters are also considered. A massive improvement in energy is observed by using sink node mobility. Experimental results are obtained using the proposed GEODR mechanism in terms of data packet transmission, alive nodes, dead nodes, and residual energy and compared against classical routing mechanisms such as low energy adaptive clustering hierarchy (LEACH) and stable election protocol (SEP).

Hilmani dkk. (2023) menyajikan protokol routing hemat energi untuk WSN pada sistem parkir pintar. Protokol ini menggunakan pendekatan pembentukan klaster progresif dan konsentris untuk menyeimbangkan konsumsi energi, meningkatkan keandalan transmisi data, dan memperpanjang umur jaringan. Hasil simulasi menunjukkan keefektifan protokol tersebut.

Energy-efficient routing protocol for wireless sensor networks based on progressive and concentric clusters

Adil Hilmani, Mohamed Koundi, Yassine Sabri, Abderrahim Maizate

Smart parking is common in contemporary cities. These smart parking lots are outfitted mostly with wireless sensor networks (WSNs), which are used to detect, monitor, and collect data on the availability status of all existing parking spaces in a given area. Sensors make up WSN, which may gather, process, and transmit informations to the sink. However, the power and communication limitations of the sensors have an effect on the performance and quality of the WSNs. The decrease in the battery and the energy of the nodes causes a decrease in the life of the nodes and also of the entire WSN network. In this article, we present a routing protocol that implements an efficient and robust algorithm allowing the creation of clusters so that the base station can receive data from the entire WSN network. This protocol adopts a reliable and efficient algorithm allowing to minimize the energy dissipation of the sensors and to increase the lifetime of the WSN. In comparison to alternative parking lot management protocols already in use, the simulation results of the proposed protocol are effective and robust in terms of power consumption, data transmission reliability, and WSN network longevity.

Disisi lain, Srikantha dkk. (2023) mengusulkan sebuah model perutean untuk jaringan sensor dalam konteks Internet of Things (IoT) yang bertujuan untuk mengoptimalkan efisiensi dan keandalan energi. Model yang diusulkan menggunakan pendekatan berbasis cluster, di mana node dikelompokkan ke dalam cluster berdasarkan kedekatan dan tingkat energi. Pemilihan cluster head (CH) dilakukan berdasarkan energi sisa, jarak antar CH, dan mobilitas sink node. Model ini juga mempertimbangkan faktor keandalan yang mempengaruhi kualitas hubungan antar node dan jalur routing yang dipilih. Hasil simulasi menunjukkan bahwa model tersebut efektif dalam menghemat energi dan meningkatkan keandalan transmisi data, terutama dalam kondisi jaringan yang banyak mengalami beban lalu lintas tinggi dan gangguan. Makalah ini mencakup diskusi tentang model perutean berbasis cluster, pemilihan CH, faktor keandalan, serta potensi aplikasi untuk IoT.

Energy aware reliable routing model for sensor network enabled internet of things environment

Padmini Mysuru Srikantha, Sampath Kuzhalvaimozhi, Samaresh Mallikarjun Silli, Suraj Prakash, Tanay Verma, Varun Manjunatha

Wireless sensor networks (WSNs), which are facilitated by the internet of things (IoTs), can be difficult to improve the lifespan of the network target area. Although the hotspot issue (i.e., the cluster head closest to the base station fails quickly) is mitigated by the clustered-based routing technique, it still has an important effect on the network’s lifespan and target area. However, improper distribution of load between cluster heads has been shown to negatively impact network lifespan efficiency, so even though unequal clusters have been utilized successfully to tackle the hotspot issue, further work is needed. This study provides an energy-aware reliable routing (EARR) model for resolving the hotspot as well as load balancing issues simultaneously. To extend the lifespan of the network, the EARR model effectively minimizes energy consumption by the cluster heads using enhanced multi-objective optimization parameters. Further, EARR provides improved routing optimization metrics to improve data delivery with energy efficiency, less delay, and packet loss. The results of the experiments demonstrate that the EARR model provides excellent throughput and lifespan efficiency with low delay and communication overhead.

Beberapa artikel di atas merupakan bagian kecil dari penelitian mengenai optimasi energi. Untuk mendapatkan informasi lebih lanjut, pembaca dapat mengunjungi laman dan membaca artikel secara GRATIS melalui tautan-tautan berikut: https://ijeecs.iaescore.com/ dan https://ijres.iaescore.com/.

Redaksi: I. Busthomi