Biased sink mobility with adaptive stop times for low latency data collection in sensor networks

Kinalis, Athanasios; Nikoletseas, Sotiris; Patroumpa, Dimitra; Rolim, José D. P.

doi:10.1016/j.inffus.2012.04.003

Cited by 82 publications

(29 citation statements)

References 20 publications

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“…In an attempt to collect the maximum amount of data, authors in [22] proposed a biased sink mobility scheme with adaptive pauses time for efficient data collection. When moving, the sink visits each region to gather data and adaptively stops for a time interval, which is proportional to the local data traffic.…”

Section: Related Workmentioning

confidence: 99%

Mobility for an Optimal Data Collection in Wireless Sensor Networks

Ez-Zaidi¹,

Rakrak²

2017

ijacsa

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Abstract-Sensor nodes located in the vicinity of a static sink drain rapidly their batteries since they have to carry more traffic burden. This situation results in network partition, holes as well as data losses. To mitigate this issue, many research proposed the use of mobile sink in data collection as a potential solution. However, due to its speed, the mobile sink has very short communication time to pick up all data from the sensor nodes within the network, therefore the sink is forced to return back to gather the remaining data. In this paper, we propose a new data collection scheme that aims to decrease the latency and enlarge the staying time between the mobile sink and the meeting points that buffer data originated from the other sensor nodes. We have also handled the case of urgent data so that they can be delivered without any delay. Our proposed scheme is validated via extensive simulations using NS2 simulator. Our approach significantly decreases the latency and prolongs the contact time between the mobile sink and sensor nodes.

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Section: Related Workmentioning

confidence: 99%

Mobility for an Optimal Data Collection in Wireless Sensor Networks

Ez-Zaidi¹,

Rakrak²

2017

ijacsa

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“…PSO technique finds the current optimal trajectory in the sub-trees, which rooted at one of median's children for the RP selection. We get the global optimal length constrained trajectory by applying the splitting-tree technique [9].The biased sink mobility finds MS mobility with adaptive stop times [12]. The sink stops at each region of RP for an appropriate interval to collect data.…”

Section: Overviewmentioning

confidence: 99%

“…To forward the data to mobile sink node in the shortest path a routing protocol is used on sensor nodes With respect to energy and latency in WSNA. Kinalis et al [12] have proposed biased sink mobility with adaptive stop times for efficiently collecting the data. A weak model of a single mobile sink is assumed, where a strategy for network traversal has been proposed .This assists the nodes in a balanced way.…”

Section: Literature Reviewmentioning

confidence: 99%

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Mobile Sink Data Gathering Technique for Wireless Sensor Networks using PSO

Saravanan¹,

Rangachar²

2016

IJIES

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Abstract:To overcome the challenges of Data gathering and enhancement of lifetime of mobile nodes we propose a new data gathering technique with multiple mobile sinks based on particle swarm optimization (PSO) technique. Particle changes its condition according to the following three principles in the basic particle swarm optimization algorithm: (1) to keep its inertia (2) to change the condition according to its most optimist position (3) to change the condition according to the swarm is most optimist position. We apply PSO technique that finds the current optimal trajectory in the sub-trees for the RP selection. Moreover, by applying the splitting-tree technique, we get the global optimal length constrained trajectory.

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“…Inspired by nonuniform nodes deployment where few pockets (high nodes density areas) exist in the sensor field, Kinalis et al [1] introduced biased sink mobility based data collection with adaptive stop times. It aims to address the short contact time between the mobile sink and the source node thereby adapting the pause time of the mobile sink in accordance with the local data traffic.…”

Section: Controlled Mobility Based Schemesmentioning

confidence: 99%

VGDD: A Virtual Grid Based Data Dissemination Scheme for Wireless Sensor Networks with Mobile Sink

Khan

Abdullah

Razzaque

et al. 2015

International Journal of Distributed Sensor Networks

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Wireless sensor network (WSN) is considered as the enabling technology to bridge the gap between the physical and digital world. Some of the applications environments of WSN require a mobile sink to operate in the sensor field where delayed and/or partial data delivery might lead to inappropriate conclusions and thus require high quality of service in terms of latency and packets delivery ratio. Majority of existing mobile sink based data dissemination schemes aim to prolong network lifetime whereas few schemes improve the data delivery performance by employing multiple mobile sinks which add to the hardware and operating cost. In this paper we propose a virtual grid based data dissemination (VGDD) scheme that aims to optimize the tradeoff between network lifetime and data delivery performance while adhering to the low cost theme of WSN. Using the virtual structure, the proposed VGDD scheme follows a set of rules to disseminate sink's mobility updates in an energy efficient manner thereby maintaining nearly optimal routes. Furthermore, to cope with speed's variation of mobile sink, VGDD makes use of appropriate forwarder nodes for guaranteed data delivery. Simulation results reveal improved data delivery performance in terms of latency and data delivery ratio compared to existing work.

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Biased sink mobility with adaptive stop times for low latency data collection in sensor networks

Cited by 82 publications

References 20 publications

Mobility for an Optimal Data Collection in Wireless Sensor Networks

Mobility for an Optimal Data Collection in Wireless Sensor Networks

Mobile Sink Data Gathering Technique for Wireless Sensor Networks using PSO

VGDD: A Virtual Grid Based Data Dissemination Scheme for Wireless Sensor Networks with Mobile Sink

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