A data collection approach based on mobile sinks for heterogeneous sensor networks

Du, Jianpeng; Wang, Hui; Wu, Yongjian; Jiang, Fukun; Huang, Haiping

doi:10.1109/wcsp.2016.7752446

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Du et al [9] tried to overcome the memory limitation (or buffer-overflow) problem. The authors proposed a mobile-sink data collection approach that depends on heterogeneous sensors in which each sensor has its sampling rate, buffer size, and buffer-overflow time.…”

Section: Data Collection Methodologies and Techniques: An Overviewmentioning

confidence: 99%

Data collection protocols for wireless sensor networks

Borham

Khoriba

Mostafa

2021

Int. j. electr. comput. eng. syst. (Online)

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Data collection in wireless sensor networks (WSNs) has a significant impact on the network’s performance and lifetime. Recently, several data collection techniques that use mobile elements (MEs) have been recommended, especially techniques that focus on maximising data delivery. However, energy consumption and the time required for data collection are significant for many WSN applications, particularly real-time systems. In this paper, a review of data collection techniques is presented, providing a comparison between the maximum amount shortest path (MASP) and zone-based energy-aware (ZEAL) data collection protocols implemented in the NS-3 simulator. Finally, the study provides a suitable data collection strategy that satisfies the requirements of WSN applications in terms of data delivery, energy consumption, and the time required for data collection.

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Section: Data Collection Methodologies and Techniques: An Overviewmentioning

confidence: 99%

Data collection protocols for wireless sensor networks

Borham

Khoriba

Mostafa

2021

Int. j. electr. comput. eng. syst. (Online)

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“…The presented protocol worked to overcome the hotspot problem by using a hybrid routing protocol. ZEAL protocol uses a homogeneous WSN (the sensors used are identical in type or capacity [13]). The presented protocol used three types of nodes as in [8] (member nodes, sub- In this way, the mobile node gathers the sub-sink nodes' data in each zone after the sub-sink nodes queue the data from the sensors.…”

Section: Related Workmentioning

confidence: 99%

Enhancement of Data Collection Performance in Wireless Sensor Networks Based on Path-Constrained Mobile Sink

Borham¹,

Khoriba²,

Mostafa³

2021

IJIES

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Due to the energy limitation in Wireless Sensor Networks (WSNs), most researches related to data collection in WSNs focus on how to collect the maximum amount of data from the network with minimizing the energy consumption as much as possible. Many types of research that are related to data collection are proposed to overcome this issue by using mobility with path constrained as Maximum Amount Shortest Path routing Protocol (MASP) and zone-based algorithms. Recently, Zone-based Energy-Aware Data Collection Protocol (ZEAL) and Enhanced ZEAL have been presented to reduce energy consumption and provide an acceptable data delivery rate. However, the time spent on data collection operations should be taken into account, especially concerning real-time systems, as time is the most critical factor for these systems' performance. In this paper, a routing protocol is proposed to improve the time needed for the data collection process considering less energy consumption. The presented protocol uses a novel path with a communication time-slot assignment algorithm to reduce the count of cycles that are needed for the data collection process with reduction of 50% of the number of cycles needed for other protocols. Therefore, the time and energy needed for data collection are reduced by approximately 25%and 6% respectively, which prolongs the network lifetime. The proposed protocol is called Energy-Time Aware Data Collection Protocol (ETCL).

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“…Based on simulations conducted, the authors demonstrate the approach to be very efficient. Due to the instability of multi-hop transmission in WSNs, Du et al proposed a data collection mechanism that utilizes mobile-based stations [70]. The result shows that the mechanism reduces energy consumption, and reduce transmission delay time.…”

Section: ) Data Collection In Wsn Using Single Mobile Sinkmentioning

confidence: 99%

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

Ali¹

2020

Preprint

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<div>In recent years, Wireless Sensor Networks (WSNs) technologies are used in many important</div><div>areas, including weather forecasting, security, environmental monitoring, health care, and industry.</div><div>Nonetheless, due to the constraints of WSNs in terms of energy, processing, connectivity, computation and</div><div>data integrity. An important issue in this research field is the efficient management of the large number</div><div>of WSN’s data. Therefore, there is a need for strong and scalable high-performance computing and large</div><div>storage infrastructure for real-time processing and storage of WSN’s data. This article attempts to discuss</div><div>data collection methods in WSNs, sensor cloud, and IoT. Also, in this context, a general overview of</div><div>WSNs and sensor cloud platforms, including their definitions, architectures, and applications are given.</div><div>We investigate, highlight and report recent advances in data collection technology by categorizing and</div><div>classifying data collection methods in WSNs, sensor cloud, IoT and developing a taxonomy based on</div><div>these classifications. Furthermore, the analysis and synthesis of existing works in this research domain</div><div>is highlighted. The identification of key research challenges for future work and use case in this research</div><div>domain were also highlighted and discussed.</div>

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A data collection approach based on mobile sinks for heterogeneous sensor networks

Cited by 6 publications

References 12 publications

Data collection protocols for wireless sensor networks

Data collection protocols for wireless sensor networks

Enhancement of Data Collection Performance in Wireless Sensor Networks Based on Path-Constrained Mobile Sink

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

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