Interconnecting isolated network segments through intermittent links

Lalouani, Wassila; Younis, Mohamed; Badache, Nadjib

doi:10.1016/j.jnca.2018.02.010

Cited by 18 publications

(18 citation statements)

References 17 publications

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“…Similarly, the RCR [3] is proposed to further shorten the vehicle routes by deploying relays. CISIL [1] is develop by exploiting the Delaunay triangulation, in which 3-hyperedges of the 3-hypergraph are chosen as routes. The LEEF [2] is designed to equalize the energy cost through greedy expansion and optimization successively.…”

Section: Related Workmentioning

confidence: 99%

“…The parameters of the experiment are listed in Table 1. We compare IDAS with baseline approaches LEEF [2], CISIL [1], DQNMDC [5] and DRLDC [4] in terms of aggregation ratio, energy cost and maximum energy cost while varying UAV count ( ), velocity ( ), number of nodes ( ), and data collection rate ( ). The terrain parameters are listed in Table 2.…”

Section: Simulation Setupmentioning

confidence: 99%

See 1 more Smart Citation

An intelligent UAV based data aggregation strategy for IoT after disaster scenarios

Wang

Lin

2020

Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

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The study on data aggregation in Internet of Things (IoT) has drawn a great attention in recent years. Since a large-scale disaster could damage the entire communication network and cut off data aggregation completely, an Intelligent UAV based Data Aggregation Strategy, named (IDAS), is proposed for after disaster scenarios in IoT. Specifically, IDAS first employs an task distribution mechanism to achieve the trade-off between the aggregation ratio and the energy cost. Then, a deep reinforcement learning method is developed for UAV route design to perform corresponding task. Thus, all data are aggregated toward the rescue headquarter by UAV deployment. The simulation results indicate that IDAS has a higher aggregation ratio and a lower energy cost while compared with contemporary strategies.

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Section: Related Workmentioning

confidence: 99%

Section: Simulation Setupmentioning

confidence: 99%

An intelligent UAV based data aggregation strategy for IoT after disaster scenarios

Wang

Lin

2020

Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

View full text Add to dashboard Cite

show abstract

“…By employing these paths, the mobile sink can play an important role in scenarios where nodes suffer opportunistic connections. For example, in Reference [ 20 ], the authors considered that the WSNs deployed within hostile environments might suffer from large-scale damage where many sensors failed simultaneously and this would cause the WSNs to split into disconnected segments, and they proposed a two-step heuristic for connecting isolated segments through intermittent links, in which a set of mobile nodes served as mobile data carriers. In Reference [ 21 ], the authors considered that in mobile sensor networks, the connectivity between nodes was intermittent due to the blockage of radio signals and nodal mobility, and they proposed a reliable data delivery scheme for the networks with an enhanced delay technique, in which nodes estimated the connectivity and expected inter-encounter time with sink nodes.…”

Section: Related Workmentioning

confidence: 99%

Data Collection Based on Opportunistic Node Connections in Wireless Sensor Networks

Yang

Peng

2018

Sensors

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The working–sleeping cycle strategy used for sensor nodes with limited power supply in wireless sensor networks can effectively save their energy, but also causes opportunistic node connections due to the intermittent communication mode, which can affect the reliability of data transmission. To address this problem, a data collection scheme based on opportunistic node connections is proposed to achieve efficient data collection in a network with a mobile sink. In this scheme, the mobile sink first broadcasts a tag message to start a data collection period, and all nodes that receive this message will use the probe message to forward their own source information to the mobile sink. On receiving these probe messages, the mobile sink then constructs an opportunistic connection random graph by analyzing the source information included in them, and calculates the optimal path from itself to each node in this random graph, therefore a spanning tree could be generated with the mobile sink play as the root node, finally, it broadcasts this spanning tree so that each node could obtain an optimal path from itself to the mobile sink to forward the sensing data. In addition, a routing protocol that adapts to different nodes operating statuses is proposed to improve the reliability of data transmission. Simulation results show that the proposed scheme works better concerning the packet delivery rate, energy consumption and network lifetime.

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“…Additionally, in such hostile environments, sensor nodes are prone to suffer damage which also reduces data gathering efficiency [4][5][6]. Furthermore, when interference levels are high or in case of a jamming attack [7], nodes cannot communicate to a sink node that may be found outside the monitored area.…”

Section: Introductionmentioning

confidence: 99%

“…Performance of WSNs in hostile environments has been studied before in the literature. For instance, in [4,5], nodes may found themselves disconnected from the rest of the network due to such hostile environments that cause unreliable links. To address this issue, the authors propose the use of mobile data carriers to temporarily provide connectivity to the rest of the nodes.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments

et al. 2019

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Wireless sensor networks (WSNs) have been extensively studied in the literature. However, in hostile environments where node connectivity is severely compromised, the system performance can be greatly affected. In this work, we consider such a hostile environment where sensor nodes cannot directly communicate to some neighboring nodes. Building on this, we propose a distributed data gathering scheme where data packets are stored in different nodes throughout the network instead to considering a single sink node. As such, if nodes are destroyed or damaged, some information can still be retrieved. To evaluate the performance of the system, we consider the properties of different graphs that describe the connections among nodes. It is shown that the degree distribution of the graph has an important impact on the performance of the system. A teletraffic analysis is developed to study the average buffer size and average packet delay. To this end, we propose a reference node approach, which entails an approximation for the mathematical modeling of these networks that effectively simplifies the analysis and approximates the overall performance of the system.

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Interconnecting isolated network segments through intermittent links

Cited by 18 publications

References 17 publications

An intelligent UAV based data aggregation strategy for IoT after disaster scenarios

An intelligent UAV based data aggregation strategy for IoT after disaster scenarios

Data Collection Based on Opportunistic Node Connections in Wireless Sensor Networks

On the Use of Graphs for Node Connectivity in Wireless Sensor Networks for Hostile Environments

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