Enhancing data delivery with density controlled clustering in wireless sensor networks

Raval, Gaurang; Bhavsar, Madhuri; Patel, Nitin R.

doi:10.1007/s00542-016-2990-4

Cited by 9 publications

(1 citation statement)

References 33 publications

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“…This would improve the energy efficiency of data collection. At the same time, the multi-hop between cluster heads method is adopted to eliminate the energy consumption gradient and energy consumption funnels of remote cluster heads, which makes it more suitable for medium and large-scale network application scenarios [31]. The network diagram of the hybrid routing algorithm is shown in Figure 1.…”

Section: A Hybrid Routing Algorithm Based On Naïve Bayes and Improved...mentioning

confidence: 99%

A Hybrid Routing Protocol Based on Naïve Bayes and Improved Particle Swarm Optimization Algorithms

Wang

Miao

et al. 2022

Electronics

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Clustering of sensor nodes is a prominent method applied to wireless sensor networks (WSNs). In a cluster-based WSN scenario, the sensor nodes are assembled to generate clusters. The sensor nodes also have limited battery power. Therefore, energy efficiency in WSNs is crucial. The load on the sensor node and its distance from the base station (BS) are the significant factors of energy consumption. Therefore, load balancing according to the transmission distance is necessary for WSNs. In this paper, we propose a hybrid routing algorithm based on Naïve Bayes and improved particle swarm optimization algorithms (HRA-NP). The cluster heads (CHs) are selected according to the CH conditional probability, which is estimated by the Naïve Bayes classifier. After the selection of the CHs, the multi-hop routing algorithm is applied to the CHs. The best routing path from each CH to the BS is obtained from an improved particle swarm optimization (PSO) algorithm. Simulations were conducted on evaluation factors such as energy consumption, active sensor nodes per round, the sustainability of the network, and the standard deviation of a load on the sensor node. It was observed that HRA-NP outperforms comparable algorithms, namely DUCF, ECRRS, and FC-RBAT, based on the evaluation factors.

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Section: A Hybrid Routing Algorithm Based On Naïve Bayes and Improved...mentioning

confidence: 99%