Obstacle-aware connectivity restoration for the partitioned wireless sensor networks using mobile data carriers

Rajeswari, G.; Sandhya, M. K.; Murugan, K.

doi:10.1007/s11276-022-03221-4

Cited by 3 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ding et al (2023) [7] proposed an obstacle-aware fuzzy clustering protocol for 3D terrain WSNs to optimize the network and maintain energy efficiency and data transmission reliability. Similarly, Rajeswari et al (2023) [8] proposed obstacle aware connectivity restoration algorithm for WSNs when the network is partitioned by reconnection of communication in the presence of obstacles. Yan et al (2023) [9] proposed a distributed cooperative positioning model with hop-range selection to solve node positioning problems due to obstacles in concave networks.…”

Section: Related Workmentioning

confidence: 99%

Front Matter

2023

2023 8th International Conference on Computer Science and Engineering (UBMK)

View full text Add to dashboard Cite

Cross-market suggestion is a technique used by social media, e-commerce platforms, and other online platforms to suggest to users' goods or services from several markets or domains. However, user engagement data (clicks, sales, and reviews) with products reveals various biases specific to certain markets, making recommendations more difficult. On the other hand, the lack of data in other markets can make it challenging to train models. Recently, the FOREC model that applies market adaptation has shown good performance on cross market recommendation problem. In this paper we propose a combined framework that employs the Light Graph Convolution Network (LGCN) algorithm, which has both market-agnostic and marketspecific models in learning cycle like FOREC but has a less complex architecture than it. The experimental results reveal that our two-stage strategy outperforms FOREC's all findings with improvements ranging from 5 to 8 percentage points with the help of an enhanced 1 to 2 percent of the market-agnostic phase in terms of nDCG@10 evaluation.

show abstract

Section: Related Workmentioning

confidence: 99%

Front Matter

2023

2023 8th International Conference on Computer Science and Engineering (UBMK)

View full text Add to dashboard Cite

show abstract

Connectivity Repair for Maritime Wireless Sensor Networks with Obstacles

Lu,

Xie,

Yan

2024

Wireless Pers Commun

View full text Add to dashboard Cite

Region-Different Network Reconfiguration in Disjoint Wireless Sensor Networks for Smart Agriculture Monitoring

Liu¹,

Zeng²,

Ren³

et al. 2023

ACM Trans. Sen. Netw.

View full text Add to dashboard Cite

Connectivity restoration is essential for ensuring continuous operation in wireless sensor networks (WSNs). However, existing works lack enough network robustness when suffering from the secondary external damages. In this paper, we propose a novel connectivity restoration scheme to address this problem. This scheme comprises three connectivity mechanisms regarding relay segment selection in different regions. The first one is a data traffic decentralization mechanism, which establishes more transmission paths near the sink for reliability improvement and traffic load balancing. The second one is a segment shape selection mechanism, in which the segments with high-reliability preferably become the relay segments for greater network robustness. The third one is a traffic load transfer mechanism, in which data traffic is transferred from a high-load segment to a low-load segment for balancing energy depletion of the network. The distinctive characteristics of this work are twofold: different regions perform diverse connectivity restoration approaches according to the demand diversity of different regions, and traffic load can be balanced from upstream regions rather than only from downstream regions. Extensive simulation experiments validate the effectiveness and advantages of our proposed scheme in terms of connection cost, network robustness, load balance degree, and network longevity.

show abstract

Obstacle-aware connectivity restoration for the partitioned wireless sensor networks using mobile data carriers

Cited by 3 publications

References 33 publications

Front Matter

Front Matter

Connectivity Repair for Maritime Wireless Sensor Networks with Obstacles

Region-Different Network Reconfiguration in Disjoint Wireless Sensor Networks for Smart Agriculture Monitoring

Contact Info

Product

Resources

About