Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs

Poe, Wint Yi; Beck, Michael A.; Schmitt, Jens

doi:10.1109/dcoss.2011.5982176

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…The issue of topology control in combination with sink placement has been dealt with in [38] in the framework of SensorNC. Several efforts to compute energy-efficient trajectories for mobile sinks when delay guarantees also have to be met have been performed using SensorNC [39][40][41]. The effect of network coding on the QoS in a WSN has been investigated using SensorNC in [42].…”

Section: Further Applicationsmentioning

confidence: 99%

The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable Performance

Schmitt

Bondorf

Poe

2017

JSAN

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Abstract:In this article, we survey the sensor network calculus (SensorNC), a framework continuously developed since 2005 to support the predictable design, control and management of large-scale wireless sensor networks with timing constraints. It is rooted in the deterministic network calculus, which it instantiates for WSNs, as well as it generalizes it in some crucial aspects, as for instance in-network processing. Besides presenting these core concepts of the SensorNC, we also discuss the advanced concept of self-modeling of WSNs and efficient tool support for the SensorNC. Furthermore, several applications of the SensorNC methodology, like sink and node placement, as well as TDMA design, are displayed.

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Section: Further Applicationsmentioning

confidence: 99%

The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable Performance

Schmitt

Bondorf

Poe

2017

JSAN

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“…The first thought is to make the sink move according to a predefined path. Many studies have been done using mobile sinks with predefined paths [4,5,6,7,8,9,10]. In [4], the mobility pattern of a path-constrained mobile sink was analyzed.…”

Section: Related Workmentioning

confidence: 99%

“…In [8], a low-complexity data gathering protocol with one or more mobile sinks was proposed to reduce the routing overhead and prolong the network lifetime. In [9], by resolving the Geometric Sink Trajectory problem, the authors proposed a trajectory planning method for multiple mobile sinks, in which the packet delay and the network lifetime were balanced. In [10], the authors proposed a predefined trajectory for multiple mobile sinks in a network divided into hexagonal tiles, in which the trajectory is designed to make the mobile sink act as the bottleneck node in the network and thus reduce the risk of energy holes.…”

Section: Related Workmentioning

confidence: 99%

“…The Hilbert space-filling curve [9] is a space-filling curve proposed by David Hilbert in 1891. Hilbert curves can map a one-dimensional line l onto a two-dimensional square S .…”

Section: System Modelmentioning

confidence: 99%

“…To address the above problems, designing the predefined trajectory that the mobile sink can move along to collect sensing data [4,5,6,7,8,9,10] has attracted the extensive attention of many researchers. By fully exploiting the predefined mobility, the network coverage is improved and the number of transmissions is decreased to some extent.…”

Section: Introductionmentioning

confidence: 99%

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Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs

Yang

Liu

et al. 2016

Sensors

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The design of movement trajectories for mobile sink plays an important role in data gathering for Wireless Sensor Networks (WSNs), as it affects the network coverage, and packet delivery ratio, as well as the network lifetime. In some scenarios, the whole network can be divided into subareas where the nodes are randomly deployed. The node densities of these subareas are quite different, which may result in a decreased packet delivery ratio and network lifetime if the movement trajectory of the mobile sink cannot adapt to these differences. To address these problems, we propose an adjustable trajectory design method based on node density for mobile sink in WSNs. The movement trajectory of the mobile sink in each subarea follows the Hilbert space-filling curve. Firstly, the trajectory is constructed based on network size. Secondly, the adjustable trajectory is established based on node density in specific subareas. Finally, the trajectories in each subarea are combined to acquire the whole network’s movement trajectory for the mobile sink. In addition, an adaptable power control scheme is designed to adjust nodes’ transmitting range dynamically according to the movement trajectory of the mobile sink in each subarea. The simulation results demonstrate that the proposed trajectories can adapt to network changes flexibly, thus outperform both in packet delivery ratio and in energy consumption the trajectories designed only based on the network size and the whole network node density.

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A Novel Multi-Objective Optimization-Based Path Formulation for Mobile Sink in Wireless Sensor Networks

2023

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Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs

Cited by 8 publications

References 10 publications

The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable Performance

The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable Performance

Adjustable Trajectory Design Based on Node Density for Mobile Sink in WSNs

A Novel Multi-Objective Optimization-Based Path Formulation for Mobile Sink in Wireless Sensor Networks

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