A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink

Wei, Qian; Bai, Ke; Zhou, Lin; Hu, Zhentao; Li, Junwei

doi:10.3390/s21072523

Cited by 38 publications

(19 citation statements)

References 28 publications

(34 reference statements)

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“…The proposed solution was simulated in NS2 with following simulation con guration parameters. The performance of the proposed solution was compared against mobile sink based data collection approach proposed by Chen et al [2], clustering based data collection with mobile sink proposed by Wei et al [5] and ant colony optimized data gathering proposed by Raj et al [18]. Life time is varied by changing the number of sinks and the result in given in Table 2.…”

Section: Resultsmentioning

confidence: 99%

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Hybrid Rendezvous Clustering Model for Efficient Data Collection in Multi Sink Based Wireless Sensor Networks

Raghavendra

Mahadevaswamy

2022

Wireless Pers Commun

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Mobile sink based data collection has comparatively lower energy consumption compared to multi hop forwarding in wireless sensor networks. Energy e ciency is achieved by minimizing the hop count to sink in mobile sink based approaches. These approaches are of two types: Mobile sink collect stored data at rendezvous nodes or cluster heads forwarding data to mobile sink without storage by using its maximum transmission range. First approach provides higher energy gain at cost of delay. Second approach provides lower delay at cost of additional energy consumption. This work combines both the approaches with rendezvous node deciding to store or forward based on prediction of trajectory of multiple mobile sinks and packet latency deadlines.

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Section: Resultsmentioning

confidence: 99%

“…Wei et al [5] proposed a cluster based energy optimization algorithm with single mobile sink. The LEECH clustering algorithm is extended to select cluster head based on adaptive adjustment of energy density function and motion performance function.…”

Section: B Cluster Based Approachesmentioning

confidence: 99%

Hybrid Rendezvous Clustering Model for Efficient Data Collection in Multi Sink Based Wireless Sensor Networks

Raghavendra

Mahadevaswamy

2022

Wireless Pers Commun

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“…Wei et al [50] proposed a cluster head energy-based algorithm that constructs energy density function and assigns the node with higher remaining energy as CH. Hence, no random CH selection is done.…”

Section: Energy Optimization-based Clustering Algorithmsmentioning

confidence: 99%

Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review

Ahmad¹,

Al-Nayar²,

Mahmood³

2022

MMEP

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In recent years, Wireless Sensor Networks (WSNs) are attracting more attention in many fields as they are extensively used in a wide range of applications, such as environment monitoring, the Internet of Things, industrial operation control, electric distribution, and the oil industry. One of the major concerns in these networks is the limited energy sources. Clustering and routing algorithms represent one of the critical issues that directly contribute to power consumption in WSNs. Therefore, optimization techniques and routing protocols for such networks have to be studied and developed. This paper focuses on the most recent studies and algorithms that handle energy-efficiency clustering and routing in WSNs. In addition, the prime issues in these networks are discussed and summarized using comparison tables, including the main features, limitations, and the kind of simulation toolbox. Energy efficiency is compared between some techniques and showed that according to clustering mode “Distributed” and CH distribution “Uniform”, HEED and EECS are best, while in the non-uniform clustering, both DDAR and THC are efficient. According to clustering mode “Centralized” and CH distribution “Uniform”, the LEACH-C protocol is more effective.

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“…The left over energy and density inside the sensor nodes zone radius, the number of dead nodes and the position and velocity of the mobile sink may all influence the energy balance of WSNs. This study [16] presented Cluster-Based Energy Optimization with Mobile Sink (CEOMS), a novel cluster-based energy optimization technique for selecting CHs by taking into account the influence of the above parameters on the energy balance of WSNs. The proposed technique first constructed the energy density function by analyzing the residual energy rate and density within the neighborhood radius of nodes, which reduced the unpredictability of CH selection.…”

Section: Literature Surveymentioning

confidence: 99%

HM2LP: Hybrid Multilevel Multihop LEACH Protocol for Conserving Energy in Large Area WSN

2022

IJIES

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Wireless Sensor Network (WSN) for a large area is the need of the hour due to ever-growing demand on the fly services in different application fields. More senders deployed in a large area will generate an enormous amount of data and will communicate to the base station (BS). The distance of a device from the BS will affect the energy of the transmitting sensor. While collecting data at the BS required distance of the route to travel by the data packets is also longer. More energy of the nodes is consumed during transmission, reception, and data aggregation phases. Systems designed for small networks perform poorly in large networks due to more energy dissipation. This work proposes using Rendezvous nodes (RN) to reduce energy consumption. The network is divided into grids. Each grid has an RN. All the selected cluster head (CH) sends their data to the RN of its zone, and then the RN transmits this data to the BS. Using this method, the traffic load of the network is reduced. The lifetime of the network is improved, which is the fundamental need of large WSNs. Existing protocols Energy Efficient Sleep Awake Aware (EESAA), Energy Efficient Scalable Routing Algorithm (EESRA), Modified Invasive Weed Optimization Clustering Approach (M-IWOCA), and Low Energy Adaptive Clustering Hierarchy (LEACH) are also implemented in the proposed scenario. Total network lifetime shows growth by 12% using the developed Hybrid Multilevel Multihop LEACH Protocol (HM2LP).

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A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink

Cited by 38 publications

References 28 publications

Hybrid Rendezvous Clustering Model for Efficient Data Collection in Multi Sink Based Wireless Sensor Networks

Hybrid Rendezvous Clustering Model for Efficient Data Collection in Multi Sink Based Wireless Sensor Networks

Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review

HM2LP: Hybrid Multilevel Multihop LEACH Protocol for Conserving Energy in Large Area WSN

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