A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks

Sha, Chao; Qiu, Jian-mei; Li, Shuyan; Qiang, Meng-ye; Wang, Ruchuan

doi:10.3390/s16060923

Cited by 11 publications

(9 citation statements)

References 40 publications

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“…IoSB is essentially a type of Wireless Sensor Networks (WSNs), and its information collection has long been related to research. In [8], Sha et al proposed a type of low-latency data gathering method with multi-sink in WSNs. Network division, multi-sink, efficient sleep scheduling and the sensing radius adjustment strategies are utilized to reduce the redundancy in network coverage and further improve the energy efficient.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Dispatch Strategy Based on the Demand Prediction of Shared Bicycles

et al. 2020

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With the advent of pile-less shared bicycles, the techniques initially used for public bicycle dispatching were unable to fulfill the routine dispatch tasks, resulting in constant bicycle crowding. In this paper, to alleviate the mess of shared bicycles, we propose a hybrid dispatching algorithm based on bicycle demand data. We take the bicycle stations’ imbalance as an optimization index and use greedy ideas to ensure that after each dispatch all stations get the smallest imbalance. In addition, it is suggested that two assessment metrics evaluate the efficiency of the dispatching technique from the users and operators’ perspectives. It is shown that the proposed dispatching algorithm performs better in terms of user satisfaction and operator revenue, and is less affected by bicycle distribution compared with the traditional manual scheduling algorithm.

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Section: Related Workmentioning

confidence: 99%

A Hybrid Dispatch Strategy Based on the Demand Prediction of Shared Bicycles

et al. 2020

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“…Path-Controllable Mobility : Under this mobility pattern, many works are dedicated to designing the sink path for improving the network performance [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. In [ 17 ], mobile elements visit each node to collect the buffered data using one-hop communication.…”

Section: Related Workmentioning

confidence: 99%

“…There exist three sink mobility patterns [ 9 ]: (1) random mobility where the sink roams in the sensing field randomly [ 10 , 11 , 12 , 13 , 14 ]; (2) path-controllable mobility where the trajectory and the sink speed can be controlled to improve the network performance [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]; (3) path-fixed mobility where the sink moves on a fixed path and under strict constraint its motion parameters such as the speed and pause time are also uncontrollable [ 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Delay-Aware Energy-Efficient Routing towards a Path-Fixed Mobile Sink in Industrial Wireless Sensor Networks

Chou

Niu

et al. 2018

Sensors

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Wireless sensor networks (WSNs) involve more mobile elements with their widespread development in industries. Exploiting mobility present in WSNs for data collection can effectively improve the network performance. However, when the sink (i.e., data collector) path is fixed and the movement is uncontrollable, existing schemes fail to guarantee delay requirements while achieving high energy efficiency. This paper proposes a delay-aware energy-efficient routing algorithm for WSNs with a path-fixed mobile sink, named DERM, which can strike a desirable balance between the delivery latency and energy conservation. We characterize the object of DERM as realizing the energy-optimal anycast to time-varying destination regions, and introduce a location-based forwarding technique tailored for this problem. To reduce the control overhead, a lightweight sink location calibration method is devised, which cooperates with the rough estimation based on the mobility pattern to determine the sink location. We also design a fault-tolerant mechanism called track routing to tackle location errors for ensuring reliable and on-time data delivery. We comprehensively evaluate DERM by comparing it with two canonical routing schemes and a baseline solution presented in this work. Extensive evaluation results demonstrate that DERM can provide considerable energy savings while meeting the delay constraint and maintaining a high delivery ratio.

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“…However, the real-time of data collection in this method needs to be improved. For this reason, a type of Low-latency Data Gathering method with Multi-Sink (LDGM) has then been proposed in [ 25 ]. The leaders in each region communicated with several MSs which effectively reduced energy consumption and the end-to-end delay.…”

Section: Related Workmentioning

confidence: 99%

A High-Efficiency Data Collection Method Based on Maximum Recharging Benefit in Sensor Networks

Sha

Wang

Zhang

et al. 2018

Sensors

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To reduce time delays during data collection and prolong the network lifetime in Wireless Rechargeable Sensor Networks (WRSNs), a type of high-efficiency data collection method based on Maximum Recharging Benefit (DCMRB) is proposed in this paper. According to the minimum number of the Mobile Data Collectors (MDCs), the network is firstly divided into several regions with the help of the Virtual Scan Line (VSL). Then, the MDCs and the Wireless Charging Vehicles (WCVs) are employed in each region for high efficient data collection and energy replenishment. In order to ensure the integrity of data collection and reduce the rate of packet loss, a speed adjustment scheme for MDC is also proposed. In addition, by calculating the adaptive threshold of the recharging request, those nodes with different energy consumption rates are recharged in a timely way that avoids their premature death. Finally, the limited battery capacity of WCVs and their energy consumption while moving are also taken into account, and an adaptive recharging scheme based on maximum benefit is proposed. Experimental results show that the energy consumption is effectively balanced in DCMRB. Furthermore, this can not only enhance the efficiency of data collection, but also prolong the network lifetime compared with the Energy Starvation Avoidance Online Charging scheme (ESAOC), Greedy Mobile Scheme based on Maximum Recharging Benefit (GMS-MRB) and First-Come First-Served (FCFS) methods.

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A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks

Cited by 11 publications

References 40 publications

A Hybrid Dispatch Strategy Based on the Demand Prediction of Shared Bicycles

A Hybrid Dispatch Strategy Based on the Demand Prediction of Shared Bicycles

Delay-Aware Energy-Efficient Routing towards a Path-Fixed Mobile Sink in Industrial Wireless Sensor Networks

A High-Efficiency Data Collection Method Based on Maximum Recharging Benefit in Sensor Networks

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