Sink-Type-Dependent Data-Gathering Frameworks in Wireless Sensor Networks: A Comparative Study

Nazib, Rezoan Ahmed; Moh, Sangman

doi:10.3390/s21082829

Cited by 5 publications

(3 citation statements)

References 72 publications

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“…An SN is a small device with limited abilities (energy, processing capacity, and memory) that is placed in the environment to sense and gather the necessary data before sending it directly (single hop) or via other multihop communications to the nearest sink [19]. The sink is in charge of receiving and conveying these gathered Future Internet 2023, 15, 75 2 of 27 data to the final user and is outfitted with high energy and processing capabilities [20]. Communications consume more than 70% of the battery energy among various nodes.…”

Section: Introductionmentioning

confidence: 99%

“…Resource-constrained nodes no longer need to send data directly to sinks using clustering techniques. Other approaches are proposed to outperform energy efficiency, such as sleeping mechanisms [25], data aggregation algorithms [20] and compressed sensing mechanisms [26]. The sleeping mechanism significantly reduces energy consumption by putting sensors to sleep or waking them up.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs

et al. 2023

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Wireless sensor networks consist of many restrictive sensor nodes with limited abilities, including limited power, low bandwidth and battery, small storage space, and limited computational capacity. Sensor nodes produce massive amounts of data that are then collected and transferred to the sink via single or multihop pathways. Since the nodes’ abilities are limited, ineffective data transmission across the nodes makes the network unstable due to the rising data transmission delay and the high consumption of energy. Furthermore, sink location and sensor-to-sink routing significantly impact network performance. Although there are suggested solutions for this challenge, they suffer from low-lifetime networks, high energy consumption, and data transmission delay. Based on these constrained capacities, clustering is a promising technique for reducing the energy use of wireless sensor networks, thus improving their performance. This paper models the problem of multiple sink deployment and sensor-to-sink routing using the clustering technique to extend the lifetime of wireless sensor networks. The proposed model determines the sink placements and the most effective way to transmit data from sensor nodes to the sink. First, we propose an improved ant clustering algorithm to group nodes, and we select the cluster head based on the chance of picking factor. Second, we assign nodes to sinks that are designated as data collectors. Third, we provide optimal paths for nodes to relay the data to the sink by maximizing the network’s lifetime and improving data flow. The results of simulation on a real network dataset demonstrate that our proposal outperforms the existing state-of-the-art approaches in terms of energy consumption, network lifetime, data transmission delay, and scalability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs

et al. 2023

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“…Static sinks can be deployed in specific location. Energy is one of the major challenge in these networks due to sensor nodes limited capabilities in terms of battery, processing power, storage and size [3], [4]. Nodes deployment is another significant challenge in these networks where sensor nodes randomly dispersed and could not assure the coverage of region of interest and might be separated into detached sub networks.…”

Section: Introductionmentioning

confidence: 99%

A sink based data gathering technique by using clustering for wireless sensor networks

Aldeen

Abdulhadi

2022

TELKOMNIKA

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New advance and integrated technologies have changed the traditional systems and convert these systems into more intelligent, feasible and cost effective systems. In all data communications domain, data gathering is one of the significant task performed by using any techniques, tools and devices. Wireless sensor networks (WSN) also gained popularity in various fields where the sensor node sensed the information by using sink or gateway nodes and further send to central units for decision making. With passage of time, these networks have faced complexities where most of the existing techniques have suffered with load balancing, complex processes, overhead and energy consumption issues. Firstly, this paper provides detail comparison of existing data gathering techniques adopted for WSN and then provides their performance analysis. After comparison, this paper proposes a novel data gathering techniques called a sink based data gathering techniques (ASDG) to collect the data from the sensor nodes and further send for decision making. Experimental results show that proposed techniques is better than existing techniques and provide more efficient data delivery ratio with more network lifetime. The results also indicated that when using the proposed technique, the no of dead sensor nodes are less as compared to the existing ones at different rounds.

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