NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election

Abasıkeleş‐Turgut, İpek; Hafif, Orhan Gazi

doi:10.1007/s11276-015-1045-6

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…As a result, a two-level communication was established where the nodes can choose to join a cluster or remain as a single member. In [15], a treebased method was presented that was created speci cally for sensor networks. Each sensor node in this algorithm has some knowledge of the sink and the other sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring

Tabatabaei¹

2023

Preprint

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Over the past few decades, research on the Internet of Things (IoT) has advanced quickly thanks to recent advancements in wireless communication technologies. IoT is evolving into a large-scale, all-encompassing network that will be extensively used in environmental monitoring, agriculture, and other fields. Wireless Sensor Networks (WSNs) serve as the IoT systems' primary monitoring infrastructure. WSNs could be used to monitor the conditions in an agricultural field, including temperature, humidity, light, carbon dioxide, soil moisture, and acidity. These factors have a crucial role in the development, excellence, and yield of crops. In order to gather crucial data, numerous sensor devices are placed in agricultural land. The ability of sensor nodes to conserve energy is thought to be crucial for extending the lifespan of WSNs. Innovative, effective, and cost-effective solutions should be devised to provide reasonable energy consumption and maximize the lifespan of WSNs for agricultural. In routing operations, clustering is recognized as a well-known strategy. In this paper, a novel energy-efficient approach based on genetic algorithms and fuzzy logic is suggested to increase network lifetime. The proposed technique use an integrated clustering structure to reduce the distances between sensor nodes where data must be transmitted. The results of OPNET's simulations showed that the suggested system performs better than the IEEE 802.15.4 protocol in terms of energy usage and WSN lifetime.

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Section: Related Workmentioning

confidence: 99%

A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring

Tabatabaei¹

2023

Preprint

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“…In NODIC [15], the authors have proposed a LEACH-like probabilistic CH election strategy by using two parameters, remaining energy of the nodes and intra-cluster communication cost, during 2 periods of network lifetime instead of combining them in an adaptive function. The energy parameter is utilized for CH election until the energy of the nodes decreases under a predefined threshold value.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Alternatively, in adaptive CH election methodology, various parameters including the remaining energy of the nodes, the distance of the nodes to the base station or to each other, the number of neighbouring nodes, are involved in CH election process. Due to providing adaptation to different networks and various environments, most of the recent studies in literature have used adaptive CH election strategy [3]- [15].…”

Section: Introductionmentioning

confidence: 99%

Dynamic coefficient-based cluster head election in wireless sensor networks

Turgut¹

2020

Pamukkale J Eng Sci

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Owing to the fact that the selection of cluster heads has a significant effect on the lifetime of the network, many researches have proposed various cluster head election methodologies for cluster-based WSNs. Although recent studies have focused on adaptive approaches, in which different parameters are assembled under a function, the effect of these parameters on cluster head election is not investigated in detail. In this paper, initially, a small-scale dataset is constructed by evaluating the death of the first, the half and the last node in a cluster-based WSN using three popular cluster head parameters, including the remaining energy of the nodes, the intra-cluster communication cost and the number of neighbours. In consideration of the results, a dynamically changeable coefficient based adaptive cluster head election, DCoCH, is proposed. The coefficients of the cluster head election parameters show alteration within three different periods of the lifetime of the network. DCoCH is compared with two recent adaptive based cluster head election methodologies for various WSN parameters and the results show that DCoCH outperforms equivalent approaches for different values of the location of the base station, the size of the network, the number of the nodes, the initial batteries of the nodes and the distribution of the nodes. Kümeleme tabanlı KAA'larda küme başının seçimi ağın yaşam süresi üzerinde önemli bir etkiye sahip olduğu için birçok çalışma farklı küme başı seçim yöntemi önermiştir. Her ne kadar son yıllarda yapılan çalışmalar birden çok parametrenin tek bir fonksiyon altında toplandığı adaptif yaklaşımlar önermiş olsa da bu parametrelerin küme başı seçimi üzerindeki etkisi detaylı araştırılmamıştır. Bu çalışmada, öncelikle, düğümlerin kalan enerjisi, küme içi iletişim maliyeti ve komşu sayısını içeren popüler küme başı seçim parametrelerini kullanan kümeleme tabanlı bir KAA için ilk, orta ve son düğüm ölümleri ölçülerek orta ölçekli bir veri kümesi oluşturulmuştur. Elde edilen sonuçlara göre dinamik olarak değişken katsayı tabanlı adaptif küme başı seçim yöntemi, DCoCH, önerilmiştir. Küme başı seçim parametrelerinin katsayıları ağ yaşamının üç farklı zamanında değişiklik gösterir. DCoCH, iki adet güncel, adaptif küme başı seçim yöntemi ile KAA'nin birçok parametresi üzerinden karşılaştırılmıştır. Elde edilen sonuçlar, DCoCH'nin diğer yaklaşımlara göre farklı baz istasyonu konumları, ağ genişliği, düğüm sayısı, düğümlerin sahip olduğu ilk enerji seviyeleri ve düğüm dağılımları altında daha iyi performans sergilediğini göstermiştir.

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Performance analysis for lifetime improvement of a regression based clustered network through cluster member allocation and secondary cluster head selection in a distributed WSN

Joshitha¹,

Jayashri²

2017

Cluster Comput

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NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election

Cited by 10 publications

References 30 publications

A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring

A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring

Dynamic coefficient-based cluster head election in wireless sensor networks

Performance analysis for lifetime improvement of a regression based clustered network through cluster member allocation and secondary cluster head selection in a distributed WSN

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