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

(3 citation statements)

References 22 publications

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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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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 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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“…Low power sensor networks (Iyer et al 2018;Alkhatib et al 2018) (WiFi, Bluetooth) Lesani and Miranda-Moreno (2019) are commonly used to connect the end devices to this OFC network, but these are slow in comparison to the speed provided by the OFC. Recently, visual light communication (VLC) (Che et al 2018;Gao et al 2019) is gaining interest to provide high-speed communications with the sensors (Verma et al 2019) and end devices. To enhance the security of communication and provide multiple access over the OFC, Li-Fi (Wang and Haas 2015), and VLC optical code division multiple access (OCDMA) techniques are used, it uses On-Off keying (OOK) (Liu et al 2019) to represent binary data, 1 is represented by an optical (light on) pulse and 0 is represented by no light (off) pulse.…”

Section: Introductionmentioning

confidence: 99%

Optical orthogonal code generation scheme and grouping of codes for optical CDMA systems

Chauhan¹,

Kumar

Gautam

2020

Int J Syst Assur Eng Manag

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To exploit the attractive features of CDMA systems and the tremendous bandwidth provided by optical communication such as fiber, VLC, and Li-FI channel, a new system is emerging and is known as optical code division multiple access. These systems require optical orthogonal codes (OOCs). This paper presents an algorithm to design OOCs and determines the auto-correlation (k a ) and cross-correlation (k c ) constrains of codes. The grouping of these OOCs for desired k a and k c is done using a low complexity bipartite method. Design of codes, groups, and simulation for performance analysis in terms of multiple access interference is done using MATLAB programming. The bipartite scheme for grouping finds all possible groups and it reduced the time of computation. The memory requirement of the scheme is also reduced together with computational complexity.

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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

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

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

Optical orthogonal code generation scheme and grouping of codes for optical CDMA systems

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