Energy efficient data collection with multiple mobile sink using artificial bee colony algorithm in large-scale WSN

Vijayashree, R.; Dhas, C. Suresh Ghana

doi:10.1080/00051144.2019.1666548

Cited by 43 publications

(31 citation statements)

References 25 publications

(26 reference statements)

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“…It failed to verify the reliability of the path. Vijayashree, R. and Suresh Ghana Dhas, C [16] introduced an artificial bee colony (ABC) algorithm for finding the data collection path in the mobile sink. This algorithm greatly increased the lifetime of the network.…”

Section: Literature Surveymentioning

confidence: 99%

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Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

AR¹,

Chakravarthi²

2021

IJIES

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Wireless sensor network (WSN) employs the mobile sink to collect the information from the sensor nodes that are deployed in the network environment in such a way to reduce the energy hole issues. However, the placement of mobile sinks optimally in the network without degrading network lifetime result in a great challenge. Thus, the adjacency-based cell score factor is adopted in this research in order to place the mobile sink optimally in WSN. Here, the network is transformed into the cell using the Voronoi transformation. For each uniform-sized cell, the cluster head (CH) is selected using Sparse-Fuzzy C-means clustering. The optimal placement of the mobile sink is carried out using the adjacency-based cell score, which effectively places the mobile sink using the constrained factors, such as energy, Euclidean distance, and fairness. The proposed adjacency-based cell score obtained better performance with a minimal distance of 22.4615m, maximal energy, fairness, network lifetime, and throughput of 97.2182, 92.6064, 145, and 95.8852, respectively, while considering 400 nodes.

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Section: Literature Surveymentioning

confidence: 99%

“…Here, the reliability of data communication increases, and the lifespan of the network are extended [1]. In the traditional data collection approach, the nodes are fixed in a certain location in order to collect the data before it being transmitted to the sink node through routing protocol [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

AR¹,

Chakravarthi²

2021

IJIES

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“…Mobile elements should remain set for gathering data from sensor nodes at some stages. Another energy-efficient data collection with multiple mobile sinks using an artificial bee colony algorithm in large-scale WSN was proposed in (3) . The option of the cluster head is dependent upon the node's residual energy.…”

Section: Characteristics Of Mobile Data Collectormentioning

confidence: 99%

“…Data collection is the main activity in WSN and a growing number of researchers are paying attention to this. All nodes are fixed in a traditional data collection scheme in a position to collect data before being forwarded to the Sink by routing protocol (3) . The most demanding unresolved issues with this phase at the moment are:…”

Section: Introductionmentioning

confidence: 99%

A three-tier cluster-based routing protocol for mobile wireless sensor networks

Arshad¹

2020

IJST

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Background/Objectives: Based on the recent advances in the area of wireless networking, computing, and storage devices, Wireless Sensor Networks (WSN) has emerged as an evolving and future-enabled technology in recent decades. The objective of the research work is to design, analyse, and evaluate the performance of A Three-Tier Cluster-Based Routing Protocol for Mobile Wireless Sensor Networks. Methods/Statistical analysis: The proposed protocol is based on autonomous sensor nodes, distributed techniques on cluster development; cluster heads collected at random, multi-hop routing method, and transferring the data towards the base station used by the assistance of MDC maximum residual energy LEACH. Findings: WSN is used globally in different forms of networking technologies; these systems come with the ability to be applied worldwide at an unrivaled scale and to add a consistent viewpoint to production. Routing protocols in these networks act as middleware, which is responsible for enhancing the network performance with less energy consumption and the cluster-based routing protocol is a massive solution to improve node's energy efficiency and reliability of data toward the base station. Moreover, the simulation results showed that the proposed protocol achieves not only better network lifetime and data reliability but also decreased energy dissipation of the sensor nodes when compared with prominent WSN cluster-based routing protocols. Novelty/Applications: The main outcomes of MDC maximum residual energy LEACH are: Minimize the energy consumption of sensor nodes, Enhance the overall network lifetime, Resolve communication (energy and routing) holes issues, Maintain data reliability, and finally reach tradeoff between energy efficiency and latency in terms of End-to-End and channel access delays. This proposed protocol has been substantially applicable in an extensive variety of environmental and civil surveillance applications.

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“…The proposed technique by authors may reduce energy consumption of sensor nodes, but create additional challenges like determining sink node's trajectory and cluster formation prior to data aggregation. The mobile sink data collection process, cluster head selection problem and mobile sink path optimization is discussed in [14]. The mobile sink path optimization is formulated as shortest path finding problem.…”

Section: Mobile Sink Node Clustering Approachmentioning

confidence: 99%

Cluster Centroid-Based Energy Efficient Routing Protocol for WSN-Assisted IoT

Kumar¹,

Bala²

2020

Adv. sci. technol. eng. syst. j.

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Wireless sensor network is highly resource constrained, where energy efficiency and network lifetime plays a major role for its sustenance. As the sensor nodes are battery operated and deployed in hostile environments, either recharging or replacement of batteries in sensor nodes is not possible after its deployment in inaccessible areas. In such condition, energy is the vital factor for the survival of sensor node in the sensing field. In order to increase the network lifetime and balance the energy consumption, robust routing protocols are required. The proposed network routing has three phases: 1. Network initiation phase to create a zone which enables the communication among local nodes 2. Zone coordinator selection phase algorithm to form zone cluster and its re-election procedure and 3. Zone head selection with its replacement phase based on energy centroid positional information and distance to the basestation to distribute load equally among zone coordinators , local sensor nodes. The data path between zone heads and basestation is distance centric and is optimized at one hop and dual hop levels to avoid data packet loss at zoneheads. Each zone is designed to own atmost ¼ rth of deployed sensor node count through uniform random deployment. Simulations results when basestation is placed inside sensing field indicates that the proposed network algorithm outperforms when benchmarked against similar protocols like conventional LEACH, Traditional PEGASIS, existing PRRP, ES3 protocols in terms of performance metrics like Network energy consumption, Average energy consumed by sensor node, Packet delivery ratio, Packet loss percentage and Network throughput.

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Energy efficient data collection with multiple mobile sink using artificial bee colony algorithm in large-scale WSN

Cited by 43 publications

References 25 publications

Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

Optimal Placement of Mobile Sink in Wireless Sensor Network Using AdjacencyBased Cell Score Factor

A three-tier cluster-based routing protocol for mobile wireless sensor networks

Cluster Centroid-Based Energy Efficient Routing Protocol for WSN-Assisted IoT

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