Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks

Mazumdar, Nabajyoti; Om, Hari

doi:10.1002/dac.3709

Cited by 55 publications

(40 citation statements)

References 45 publications

(195 reference statements)

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“…Furthermore, Mazumdar and Om 19 presented a novel distributed fuzzy logic-based algorithm for unequal wireless sensor nodes clustering. Also, in this paper, a new routing algorithm is presented to lead the collected data by the nodes.…”

Section: Related Workmentioning

confidence: 99%

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

Shahidinejad

Barshandeh

2020

Int J Communication

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Summary Applying multiple sink nodes in a large‐scale wireless sensor networks (WSN) can increase the scalability and lifetime of the network. The current sink selection mechanisms assume an unlimited amount of buffer and bandwidth for the sink nodes. This can be problematic in real‐world applications, especially when many cluster heads select a specific sink node and send their data to the sink at the same time. In this situation, the sink node may not have enough buffer to receive and process data; consequently, some packets are dropped. To mitigate these occasions, a fuzzy‐based controller with reduced rules is proposed for sink selection by considering the capacity of the sink nodes. The capacity of the sink nodes is estimated using the long short‐term memory (LSTM) technique. Then another fuzzy‐based controller with reduced rules is designed to select the cluster head. The fuzzy rules are reduced by employing R‐implications method. Reducing the number of fuzzy rules decreases the complexity of the fuzzy controllers. The results show the efficiency of the proposed sink selection and clustering techniques in terms of consumed energy, remaining energy, first node dead (FND), half nodes dead (HND), last node dead (LND), packet loss, and delay.

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Section: Related Workmentioning

confidence: 99%

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

Shahidinejad

Barshandeh

2020

Int J Communication

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“…In the hierarchical routing protocol, homogeneous clustering can balance the energy consumption better, which cause a cluster head to die prematurely due to excessive energy consumption impossible. Unequal Clustering Size (UCS) build clusters of non-uniform sizes according to the distance from the CH to the BS to balance the energy of the network [24]. Hybrid Energy-Efficient Distributed clustering (HEED) makes CHs distribution more uniform in a full distribution manner, which works according to the residual power of the primary parameter node and the communication cost within the subordinate parameter cluster [25].…”

Section: Related Workmentioning

confidence: 99%

Research on routing optimization of WSNs based on improved LEACH protocol

Liang

Yang

et al. 2019

J Wireless Com Network

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LEACH routing protocol equalizes the energy consumption of the network by randomly selecting cluster head nodes in a loop, which will lead to the defect of unstable network operation. Therefore, in order to solve this problem, it is necessary to reduce the energy consumption of data transmission in the routing protocol and increase the network life cycle. However, there is also a problem that cluster heads count with a wide range and the cluster head forwarding data consumed greatly power in the LEACH, which remains to be solved. In this paper, we put forward an approach to optimize the routing protocol. Firstly, the optimal number of cluster head is calculated according to the overall energy consumption per round to reduce the probability of excessive cluster head distribution. Then, the cluster head is used as the core to construct the Voronoi Diagram. The nodes in the same Voronoi diagram become a cluster, that the energy consumption communication in intra-cluster would be less. Finally, in order to optimize the multi-hop routing protocol, an ant colony algorithm is added using a cluster head near the BS to receive and forward it from a remote cluster head. According to the MATLAB simulation data, the protocol can significantly prolong the lifetime of WSNs compared with the LEACH protocol and increase the energy efficiency per unit node in per round. Energy consumption of the proposed approach is only. The approach improved the First Node Death (FND) time by 127%, 22.2%, and 14.5% over LEACH, LEACH-C, and SEP, respectively.

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“…16 But the lifespan improvement and energy balance sustenance through efficient cluster head selection in sensor networks need additional enhancements. [17][18][19] In addition, the problem of selecting energy efficient cluster head for improved lifetime in sensor network is considered as an NP problem. [20][21] Meta-heuristic optimization algorithms are determined to be the suitable option for selecting optimal cluster heads for prolonging the lifetime of the network.…”

Section: Introductionmentioning

confidence: 99%

A hybrid elephant herding optimization and cultural algorithm for energy‐balanced cluster head selection scheme to extend the lifetime in WSNs

Murugadass

Poruran

2020

Int J Communication

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Summary Clustering‐based optimal cluster head selection in wireless sensor networks (WSNs) is considered as the efficient technique essential for improving the network lifetime. But enforcing optimal cluster head selection based on energy stabilization, reduced delay, and minimized distance between sensor nodes always remain a crucial challenge for prolonging the network lifetime in WSNs. In this paper, a hybrid elephant herding optimization and cultural algorithm for optimal cluster head selection (HEHO‐CA‐OCHS) scheme is proposed to extend the lifetime. This proposed HEHO‐CA‐OCHS scheme utilizes the merits of belief space framed by the cultural algorithm for defining a separating operator that is potent in constructing new local optimal solutions in the search space. Further, the inclusion of belief space aids in maintaining the balance between an optimal exploitation and exploration process with enhanced search capabilities under optimal cluster head selection. This proposed HEHO‐CA‐OCHS scheme improves the characteristic properties of the algorithm by incorporating separating and clan updating operators for effective selection of cluster head with the view to increase the lifetime of the network. The simulation results of the proposed HEHO‐CA‐OCHS scheme were estimated to be superior in percentage of alive nodes by 11.21%, percentage of dead nodes by 13.84%, residual energy by 16.38%, throughput by 13.94%, and network lifetime by 19.42% compared to the benchmarked cluster head selection schemes.

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Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks

Cited by 55 publications

References 45 publications

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

Sink selection and clustering using fuzzy‐based controller for wireless sensor networks

Research on routing optimization of WSNs based on improved LEACH protocol

A hybrid elephant herding optimization and cultural algorithm for energy‐balanced cluster head selection scheme to extend the lifetime in WSNs

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