RCare: Extending Secure Health Care to Rural Area Using VANETs

Barua, Mrinmoy; Liang, Xiaohui; Lu, Rongxing; Shen, Xuemin

doi:10.1007/s11036-013-0446-y

Cited by 33 publications

(22 citation statements)

References 16 publications

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“…where n c is the number of CHs, x i is the cardinality of cluster i, and m = N2n c /n c is the average number of neighbors of a CH (being the total number of nodes in the system) as shown in equation (9).…”

Section: Load Balance Factormentioning

confidence: 99%

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Ishtiaq

Ahmed

Khan

et al. 2019

International Journal of Distributed Sensor Networks

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Vehicular ad hoc networks consist of access points for communication, transmission, and collecting information of nodes and environment for managing traffic loads. Clustering can be performed in the vehicular ad hoc networks for achieving the desired goals. Due to the random range of vehicular ad hoc networks, stability is the major issue on which major research is still in progress. In this article, a moth flame optimization-driven clustering algorithm is presented for vehicular ad hoc networks, replicating the social behavior of moth flames in creating efficient clusters. The proposed framework is extracted from the living routine of moth flames. The proposed framework allows efficient communication by creating the augmented number of clusters due to which it is termed as intelligent algorithm. Besides this, the use of unsupervised clustering technique emphasizes to call it as an intelligent clustering algorithm. The recommended intelligent clustering using moth flame optimization framework is executed for resolving and optimizing the clustering problem in vehicular ad hoc networks, the primary focus of the proposed scheme is to improve the stability in vehicular ad hoc networks. This proposed method can also be used for the transmission of data in vehicular networks. Intelligent clustering using moth flame optimization is then proved by relative study with two variants of particle swarm optimization: multiple-objective particle swarm optimization and comprehensive learning particle swarm optimization and a variant of ant colony optimization: ant colony optimization-based clustering algorithm for vehicular ad hoc network. The simulation demonstrates that the intelligent clustering using moth flame optimization is provisioning optimal outcomes in contrast to widely known metaheuristics. Furthermore, it provides a robust routing mechanism based on the clustering. It is suitable for large highways for the productivity of quality communication, reliable delivery for each vehicle and can be widely applicant.

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Section: Load Balance Factormentioning

confidence: 99%

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Ishtiaq

Ahmed

Khan

et al. 2019

International Journal of Distributed Sensor Networks

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“…Other researchers have investigated propagating voicemails or other emergency data via DTNs in amongst communities [10,21]. More closely related work proposes using vehicular ad hoc networks to disseminate PHI in rural communities [1,14].…”

Section: Related Workmentioning

confidence: 99%

Utilizing Opportunistic Social Networks for Remote Patient Monitoring in Rural Areas

Max-Onakpoya

Madamori

Baker

2019

Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Commu

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The use of Internet connectivity for remote patient monitoring is often unsuitable for rural communities where Internet infrastructure is lacking, and power outages are frequent. This paper explores the rural connectivity problem in the context of remote patient monitoring and analyzes the feasibility of utilizing a delay tolerant network (DTN) architecture that leverages the social behaviors of rural community members to enable out-of-range monitoring of patients in rural communities without local transportation systems. The feasibility is characterized using delivery latency and delivery rate with the number of participants and the number of sources as variables. The architecture is evaluated for Owingsville, KY using U.S. Census Bureau, the National Cancer Institute's, and IPUMS ATUS sample data. The findings show that within a 24 hour window, there is an exponential relationship between the number of participants in the network and the delivery rate with a minimal delivery of 38.7%, a maximal delivery rate of a 100% and an overall average delivery rate of 89.8%.

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“…If the message is intercepted in the middle as shown in Figure , it cannot be decrypted by the attacker. Hence, no scope to carry out malicious activities. Eavesdropping attack : In eavesdropping attack (EA), the malicious attackers try to obtain the session key of ongoing communication and start to listen without authorization or steal the communication parameters. In EAs, where third person collects information of genuine vehicles is shown in Figure . Traffic analysis attack : Here, knowledge about the vehicles are maliciously gathered based on the information eavesdropped from the network with a malicious intent.…”

Section: Security Services and Attacks In Vanetmentioning

confidence: 99%

A systematic review on security issues in vehicular ad hoc network

Tanwar

Vora

Tyagi

et al. 2018

Security and Privacy

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Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation system to provide safety and security alongwith reduction in traffic jam using vehicle‐to‐vehicle (V2V) and vehicle‐to‐roadside (V2R) unit communications. However, one of the major concerns in VANETs is to maintain the privacy and security of the sensitive information shared between vehicles and end‐users, as information leakage can influence any implemented solution in this environment. Keeping view on the above‐mentioned points, this paper provides a detailed survey on various types of attacks and possible solutions to handle these attacks. Using the proposed survey, a detailed taxonomy based upon the types of attacks and possible solutions to handle these attacks is proposed. Finally, various emerging open issues and challenges along with the security threats are identified and discussed in the paper. These open research issues motivate the communities to design new solutions to mitigate the existing new security threats in this area.

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RCare: Extending Secure Health Care to Rural Area Using VANETs

Cited by 33 publications

References 16 publications

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Intelligent clustering using moth flame optimizer for vehicular ad hoc networks

Utilizing Opportunistic Social Networks for Remote Patient Monitoring in Rural Areas

A systematic review on security issues in vehicular ad hoc network

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