A Virtual Backbone Construction Heuristic for Maximizing the Lifetime of Dual-Radio Wireless Sensor Networks

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

doi:10.1109/iih-msp.2015.20

Cited by 28 publications

(5 citation statements)

References 16 publications

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“…Transport networks assist individuals in reaching everyday locations, including working sites, institutions, healthy eating services, and stable and comfortable health services. The function of public transportation services is vital for people who cannot drive, notable people without access to vehicles, kids, and individuals with impairments [4]. In addition, it provides the opportunity to enhance physical exercise by pedestrian and biking and by reducing motor vehicles [5].…”

Section: Public Transportation Systemmentioning

confidence: 99%

Performance Evaluation of New Energy Vehicles with Human-Machine Interaction in Intelligent Transportation Systems

Zhang

Guan

Sun

2023

SPEE

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An intelligent transport system is a sophisticated platform developed to provide new solutions related to transport administration, enabling people to be increasingly aware and make infrastructures secure, more synchronized, and more sophisticated utilization. Energy vehicles in intelligent transportation have additional positive benefits to society. However, handling mobility, connectivity, and communication infrastructure are significant challenges in integrating the energy vehicle in intelligent transport systems. This paper proposed an energy vehicle with a human interaction framework (EVHIF) to enhance the intelligent transportation system. The EVHIF provides human-machine interaction through a voice-over interface, and the natural language processing made the interface more flexible. The voice-over interaction framework adopts the advanced user interface, mobility problems and becomes more accessible. Static language program modifies the user voice interaction to the energy vehicles. If correctly designed and executed, ITS can save a great deal of time, money, and even lives. ITS encompasses the information analysis and data transmission programs that enable the operation and maintenance of surface transportation modes to increase the safety and efficiency of conveying people and commodities. People, safety officers, and government also use its benefits. Experimentation is done by focusing on the performance of EVHIF in an intelligent transportation system. Evaluation results prove that EVHIF is efficient at 98.56% and advisable for transportation systems with advanced interaction frameworks.

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Section: Public Transportation Systemmentioning

confidence: 99%

Performance Evaluation of New Energy Vehicles with Human-Machine Interaction in Intelligent Transportation Systems

Zhang

Guan

Sun

2023

SPEE

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“…In emergency applications, the sensed data have to be reported to the sink as soon as possible. And therefore, the problem of reporting sensed data to the sink with minimum latency has received a great deal of attentions recently [8,24,26,42]. In addition, due to the fact that the sensed data can be aggregated via aggregation functions, such as maximum, minimum, sum, and etc, or compressed techniques to reduce the cost of reporting data [4,19,27], we undertake the problem of aggregating and reporting data with minimum latency in the paper.…”

Section: Introductionmentioning

confidence: 99%

Minimizing Latency for Data Aggregation in Wireless Sensor Networks: An Algorithm Approach

Pham

Nguyen

Liu

et al. 2022

ACM Trans. Sen. Netw.

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In wireless sensor networks (WSNs), especially in underwater sensor networks the problem of reporting data to the sink with minimum latency has been widely discussed in many research works. Many studies address on using data aggregation to report the same type of data to the sink without data collision in a short period of time. However, due to the rapid development of sensor technology in recent years, a sensor is allowed to have multiple sensing capabilities, that is, it can generate and collect different types of data. Because different types of data have different meanings and required aggregation functions, only the data that belong to the same type are allowed to be aggregated. In addition, due to the interference of the environment or the noise, the links in the WSNs are often not bidirectional. This motivates us to study the problem of using minimum latency scheduling to aggregate and report data to the sink without data collision in multiple-data-type WSNs having unidirectional links, which is shown to be NP-hard in the paper. In addition, the Relative-Collision-Graph-Based Scheduling Algorithm (RCGBSA) is therefore proposed accordingly. Simulations are conducted to demonstrate the performance of the RCGBSA.

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“…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%

“…Similarly, a virtual backbone construction heuristic for maximizing the network lifetime in dual-radio based WSNs was proposed in [68]. In both the previously mentioned studies, sensor nodes are supposed to be equipped with two radio interfaces: short range and long range radios.…”

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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A Virtual Backbone Construction Heuristic for Maximizing the Lifetime of Dual-Radio Wireless Sensor Networks

Cited by 28 publications

References 16 publications

Performance Evaluation of New Energy Vehicles with Human-Machine Interaction in Intelligent Transportation Systems

Performance Evaluation of New Energy Vehicles with Human-Machine Interaction in Intelligent Transportation Systems

Minimizing Latency for Data Aggregation in Wireless Sensor Networks: An Algorithm Approach

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

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