An Efficient Algorithm of Constructing Virtual Backbone Scheduling for Maximizing the Lifetime of Dual-Radio Wireless Sensor Networks

Liu, Bing-Hong; Pham, Van-Trung; Nguyen, Ngoc‐Tu

doi:10.1155/2015/475159

Cited by 16 publications

(5 citation statements)

References 31 publications

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“…In addition, the authors showed that the MLDATS problem is NP-complete. In [28], the author proposed a distributed algorithm to find a backbone in the dual-radio network whenever a new backbone was needed; and examined the difficulty of constructing virtual backbones to increase the network lifetime.…”

Section: Related Workmentioning

confidence: 99%

Spiral Mobility Based on Optimized Clustering for Optimal Data Extraction in WSNs

2018

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Wireless Sensor Networks (WSNs) have led to tremendous growth in the development of sensor technology and offer numerous applications, such as wildlife monitoring, environment, healthcare, military surveillance and security systems. In terms of performance, the evolutions of WSN routing protocols play a vital role in extending the lifetime of networking operations. Due to the limited resources of power in sensor nodes, the design and implementation of an energy-efficient routing protocol comprise a key challenge for researchers. Before, in the case of a static sink, nodes at farther areas from the sink transmit their sensed data at a longer transmission range and die early, while nearby nodes face lesser transmission costs and stay alive for a longer period. This unbalanced energy distribution creates energy holes in ares far from the sink in WSNs. Mobility-based sink routing protocols are proposed to minimize the sub-optimal energy consumption in WSNs, as the sink mobility covers the sensor field, which alleviates the overall load-balancing among sensor nodes. In order to overcome the energy hole issue while prolonging the network lifetime, it is important to determine the optimal mobility pattern. In this regard, we propose the Spiral Mobility based on Optimized Clustering (SMOC) routing protocol and the Multiple sink-based SMOC (M-SMOC) routing protocol for large-scale WSNs. Performance evaluations of the proposed protocols are compared with various existing routing protocols based on static sink, random mobility and grid mobility. Different numbers of performance parameters are considered for evaluation, such as network lifetime, network stability, packet drop ratio, packet delivery ratio, end-to-end delay, average energy consumption, network connection time and the impact of different heterogeneity levels. Experimental results show the benefits of the spiral mobility pattern and how it improves the network lifetime and stability period over the existing state-of-the-art routing protocols.

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Section: Related Workmentioning

confidence: 99%

Spiral Mobility Based on Optimized Clustering for Optimal Data Extraction in WSNs

2018

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“…Authors in [67] investigated the problem of constructing virtual backbones to increase the network life and proposed a distributed algorithm to find a backbone in the dual-radio network whenever a new backbone is needed. Similarly, a virtual backbone construction heuristic for maximizing the network lifetime in dual-radio based WSNs was proposed in [68].…”

Section: Related Workmentioning

confidence: 99%

“…We investigate the energy efficiency problem in WSNs from an entirely different perspective wherein the security against the previously mentioned attacks, the filtering strength of the available intermediate routes (for example: the number of verification keys on the path and the average distance of verification nodes from the data generating cluster) are considered while developing a heuristic based solution for path selection that provides the maximum security against the FVIA and FRIA attacks at the same time. In contrast, the solutions proposed in [67,68] are scheduling strategies that consider the energy power of the nodes while constructing a backbone. One of the important pieces of information required in choosing the energy efficient path for data dissemination is the number of upstream nodes holding the corresponding data authentication keys and their distances from the data generating cluster.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

Akram

Cho

2017

Symmetry

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Abstract:Wireless sensor networks are supplied with limited energy resources and are usually installed in unattended and unfriendly environments. These networks are also highly exposed to security attacks aimed at draining the energy of the network to render it unresponsive. Adversaries launch counterfeit report injection attacks and false vote injection attacks through compromised sensor nodes. Several filtering solutions have been suggested for detecting and filtering false reports during the multi-hop forwarding process. However, almost all such schemes presuppose a conventional underlying protocol for data routing that do not consider the attack status or energy dissipation on the route. Each design provides approximately the equivalent resilience in terms of protection against compromised node. However, the energy consumption characteristics of each design differ. We propose a fuzzy adaptive path selection to save energy and avoid the emergence of favored paths. Fresh authentication keys are generated periodically, and these are shared with the filtering nodes to restrict compromised intermediate filtering nodes from the verification process. The scheme helps delay the emergence of hotspot problems near the base station and exhibits improved energy conserving behavior in wireless sensor networks. The proposed scheme provides an extended network lifetime and better false data filtering capacity.

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“…and reach optimum performance with a safe, therapeutic technique for sports injury rehabilitation. One can get an exercise prescription suited to specific needs (Liu et al, 2015). Sports injury rehabilitation is essential for ensuring that return to activities is feasible and safe.…”

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confidence: 99%

International Journal of e-Collaboration (IJeC)

Huina

Luhach

Alshehri

2023

International Journal of E-Collaboration

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In researching cognitive or motor learning aspects of activity control, motor imagery (MI) is a widely used model. Research has shown that motor imagery training can aid in memorizing motor functions because of the functional associations it shares with physical movement. Because of the high level of contact in these sports, players are more likely to sustain finger injuries. As a group of machine learning techniques, cognitive web services are designed to solve AI-related challenges. Because they are modular, cognitive web services can be easily integrated into any program, making AI more accessible to everyone. Some performers return to play early with defensive splinting, taping, and casting depending on the damage and the position played. Other injuries, predominantly in performers necessitating the full use of their hand for their position, require a more extended rehabilitation period and lengthy time away from the field. Therefore, this paper proposes the motor imagery-based finger rehabilitation system (MIFRS) in sports injury rehabilitation.

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An Efficient Algorithm of Constructing Virtual Backbone Scheduling for Maximizing the Lifetime of Dual-Radio Wireless Sensor Networks

Cited by 16 publications

References 31 publications

Spiral Mobility Based on Optimized Clustering for Optimal Data Extraction in WSNs

Spiral Mobility Based on Optimized Clustering for Optimal Data Extraction in WSNs

Energy Efficient Fuzzy Adaptive Verification Node Selection-Based Path Determination in Wireless Sensor Networks

International Journal of e-Collaboration (IJeC)

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