Cost and Sub-Epoch Based Stable Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks

Verma, Akshay; Rashid, Tarique; Gautam, Prateek Raj; Kumar, Sunil; Kumar, Arvind

doi:10.1007/s11277-019-06362-6

Cited by 12 publications

(4 citation statements)

References 22 publications

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“…In paper [10] In Z-SEP, the sensor field is divided into zone 0 and two head zones. Normal nodes are deployed only at zone 0 and send he sensed data directly to the BS, while advance nodes are deployed in both head zone 1 and head zone 2, uniformly and randomly.…”

Section: Heterogeneous Clustering Protocolsmentioning

confidence: 99%

Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

Rao,

Shilpi,

Kumar

2023

JTIT

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This paper proposes a zone-based three-level heterogeneous clustering protocol (ZB-TLHCP) for heterogeneous WSNs. In ZB-TLHCP, the sensor field/region is divided into zones where super, advance, and normal nodes are deployed uniformly and randomly. The performance of the proposed ZB-TLHCP system is compared with that of zonal-stable election protocol (Z-SEP), distributed energy efficient clustering (DEEC), and threshold-based DEEC (TDEEC) protocol by varying the number of super and advance nodes, their energy levels for the fixed sensor field, and the total number of nodes. Matlab simulation results revealed that the proposed ZB-TLHCP solution performed better than Z-SEP, DEEC, and TDEEC protocols, as it increased the instability period, prolonged the network's lifetime, and achieved higher throughput values.

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Section: Heterogeneous Clustering Protocolsmentioning

confidence: 99%

Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

Rao,

Shilpi,

Kumar

2023

JTIT

Self Cite

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“…In this paper, the CH range is observed and avoided the occurrence of one CH within the range of other CH. The clustering behavior of heterogeneous networks was improved by Verma et al 18 by introducing a cost and sub-epoch-based stable energy-efficient clustering (CSSEEC) algorithm. The proposed protocol optimized the cluster selection and achieved stability over the communication session.…”

Section: Related Workmentioning

confidence: 99%

Design of a novel degree load‐balanced and fuzzy ant colony optimization protocol for optimizing the clustering architecture in WSN

Juneja

2021

Int J Communication

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A sensor network is a situation-based critical network defined under certain restrictions and constraints. The clustered architecture is defined over these networks to utilize the criticality vectors and to improve network communication. In this paper, a degree load-balanced and fuzzy-ACO (DLB-fACO) protocol is proposed for optimizing the clustered architecture. In this architecture, the load analysis is performed while forming the clusters. The cluster head selection is performed based on energy, cluster density, and probability vector. The node degree-and energy-balanced analysis is performed for identifying the cluster members. Once the clusters are formed, the ACO approach is applied to perform the cluster-based hierarchical routing. Communication is performed at two levels. In the first level, node-to-cluster head communication is performed by considering energy and degree consideration. In the second level, the fuzzy-integrated ACO method is applied for inter-cluster route formation. The route optimization is here performed under fuzzy-based energy, degree, and distance parameters. These fuzzy parameters are evaluated within the ACO algorithm for generating the optimized route. The proposed loadbalanced protocol is analyzed against the LEACH, LEACH-C, LEACH-CC, M-LEACH, Fuzzy-PSO, Fuzzy-ACO, Fuzzy-Cuckoo, and FMCB-ER protocols.The experimentation results confirm the significant gain in network lifetime and packet communication. The cluster count, clustering switching, and communication failure are also reduced in comparison with existing conventional and optimized protocols.

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“…A CSSEEC (cost and sub-epoch based stable energy effective clustering) procedure was introduced by Akshay et al [21] for HWSNs. In CH selection process, this paper developed the cost utility for a selection of optimal CH and use the sub-epoch (SE) to re-stands the earlier chosen CHs as normal nodes for future reference.…”

Section: Related Workmentioning

confidence: 99%

Energy efficient rendezvous points based routing technique using multiple mobile sink in heterogeneous wireless sensor networks

2021

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In recent decades, Sensor nodes (SNs) are used in numerous uses of heterogeneous wireless sensor networks (HWSNs) to obtain a variety of sensing data sources. Sink mobility shows a significant part in the enhancement of sensor system execution, energy utilization, and lifetime. To manage sink mobility, rendezvous points (RPs) are introduced where some SNs are chosen as RPs, and the non-RP nodes convey the information to the cluster heads (CHs). The CHs then forward their information to the nearby RPs. To determine the set of RPs and travelling path of mobile sinks (MSs) that visits these RPs is quite challenging. This work presents an energy-efficient SOSS based routing method that depends on RPs and multiple MSs in HWSNs. At first, all the heterogeneous nodes are distributed into the number of clusters using mean shift clustering (MSC). Then, the Bald eagle search (BES) algorithm is used for an optimal selection of CHs whereas multiple MS is employed for effective data gathering. The use of multiple MSs can enhance the data collection efficiency and decreases the energy utilization for HWSNs. Finally, the hybrid seagull optimization and salp swarm (SOSS) algorithm is used to find the RPs and travelling routes of MS. The entire simulation work of the heterogeneous network is simulated in the NS2 platform. The simulation outcomes display that the suggested method provides superior performance in HWSN than other current routing protocols.

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Cost and Sub-Epoch Based Stable Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks

Cited by 12 publications

References 22 publications

Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

Design of a novel degree load‐balanced and fuzzy ant colony optimization protocol for optimizing the clustering architecture in WSN

Energy efficient rendezvous points based routing technique using multiple mobile sink in heterogeneous wireless sensor networks

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