Energy efficient node selection algorithm based on node performance index and random waypoint mobility model in internet of vehicles

Kumar, Priyan Malarvizhi; Devi, G. Usha

doi:10.1007/s10586-017-0998-x

Cited by 48 publications

(10 citation statements)

References 33 publications

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“…The hubs are put erratically in a 1500m X 1500m territory. Hubs in the reenactment set up move as indicated by a model that is noticeable as the "irregular waypoint" display [29]. The kineticism situation records we used for every recreation are described by a delay time.…”

Section: Proposed Methodologymentioning

confidence: 99%

Optimization of WMN Performance for Different Propagation Environment

Qadir¹,

Saini²

2018

IJARCSSE

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Wireless mesh networks are multihop systems in which contrivances avail each other in transmitting packets through the network, especially in arduous conditions. We can drop these ad hoc networks into place with minimal preparation, and they provide a reliable, flexible system that can be elongated to thousands of contrivances. The wireless mesh network topology developed is a point-to-point-to-point, or peer-to-peer, system called an ad hoc, multi-hop network. A node can send and receive messages, and in a mesh network, a node withal functions as a router and can relay messages to its neighbours. A mesh network offers multiple redundant communications paths throughout the network. If one link fails for any reason, the network automatically routes messages through alternate paths. In a mesh network, we can abbreviate the distance between nodes, which dramatically increases the link quality. If we reduce the distance by a factor of two, the resulting signal is at least four times more puissant at the receiver. This makes links more reliable without incrementing transmitter power in individual nodes. In a mesh network, we can elongate the reach, integrate redundancy, and amend the general reliability of the network simply by integrating more nodes. One of the most astronomically immense issues in routing is to providing copacetic performance while scaling the wireless mesh network. It is fascinating, however, to investigate what transpires when routing nodes are expanded in different propagation environment and how that affects routing metrics. In this thesis, we examine the utilization of different proactive, reactive and hybrid protocols in such a way so that we may be able to build a cost function which avails in culling the finest grouping of routing protocols for a particular urban wireless mesh network. The key parameters are network throughput and average end to culminate delay. The performance of Bellman ford, DYMO, STAR and ZRP protocols have been examined with different node densities. A non-linear cost function equation has been proposed corresponding to each routing parameter taken. Bitrate is taken as constant (CBR).

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Section: Proposed Methodologymentioning

confidence: 99%

Optimization of WMN Performance for Different Propagation Environment

Qadir¹,

Saini²

2018

IJARCSSE

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“…Priyan and Devi [168] had proposed an energy efficient node selection algorithm based on the performance index and the Random Waypoint Mobility Model (RWMM). The performance metric is evaluated over the medical capacity of the mobile ambulance, no of patients using the ambulance and the Euclidean distance from the nearby mobile ambulance.…”

Section: Energy Qosmentioning

confidence: 99%

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Garg

Mehrotra

Pandey

et al. 2021

Peer-to-Peer Netw. Appl.

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This paper presents a state-of-the-art review of various models of Internet of Vehicles (IoV) that were proposed to revolutionize the transportation and automation industry. In the last few years, IoV technology has emerged as a global revolution, demonstrating considerable impact upon the transportation and automation industry, hence, the interest of the researchers bends towards the utility of the IoV technology which motivated us to present a comprehensive review. This paper, thus, collates recent findings along with some anticipated applications of IoV technologies for transportation. It brings to light the evolution of the IoV studies referred as models for transportation since its birth and aims to present a deep insightful review of various IoV technologies with their strengths and weaknesses. The reviewed literature is organized systematically to give a categorical overview of recent developments. This article also discusses the outstanding potentialities and challenges that exist in transportation from IoV perspective with the belief that these will have the capacity to be addressed in the near future. As there is no review literature on IoV technology available for transportation. Hence, we strongly believe that this study will be useful and enable the researchers to utilize IoV technologies to solve complex outstanding problems in transportation and automation. Keywords Internet of vehicles . V2X . network . Energy efficiency . Big data . QoS 1 IoV is abbreviated as Internet of Vehicles which has also been referred to by various names like ICV (Internet Connected Vehicles) or CV (Connected Vehicles) or AUV (Autonomous Vehicles) by other academicians. 2 V2X represents V2V, V2I, V2H, V2R and V2C which is also referred to as V2α by other academicians.

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“…Also, some e-mails regarding about your award winning prices which by clicking, it helps hackers to gather your details and access to it. Table 1 shows the description of e-mail and IM spam (Shehnepoor, et al, 2017;Priyan and Devi, 2017). Table 1 E-mail SPIM E-mail spam (Rathod and Pattewar, 2015;Elssied et al, 2014) IM spam (SPIM) (Liu et al, 2005;Maroof, 2010) In this, an e-mail is sent to you to sell products or some commercial advertisement for making money.…”

Section: Direct Spammentioning

confidence: 99%

Detecting spams in social networks using ML algorithms - a review

Murugan

Devi

2018

IJEWM

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The social network, by the name which has popularised in today's world and growing rapidly at all times and controlling over mankind. The social networks like Twitter, Facebook, and LinkedIn, etc., have become a regular and daily usage of many people. It becomes a good mediator for the people who would like to share some posts, are some of their own videos, or some messages. But there has been major issues that the particular user of the social networks like Twitter and Facebook have the problem of indiscipline actions which we call as spam, by the third person who is knowingly doing this to spoil their intention and good opinion upon each other. Also, these spams help to steal information about the people who using social networks. In this paper, we study and analyse about the spam in social networks and machine learning algorithms to detect such kind of spams. This paper also focuses on the ML algorithms detection rate and false positive rate over different datasets.

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Energy efficient node selection algorithm based on node performance index and random waypoint mobility model in internet of vehicles

Cited by 48 publications

References 33 publications

Optimization of WMN Performance for Different Propagation Environment

Optimization of WMN Performance for Different Propagation Environment

Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directions

Detecting spams in social networks using ML algorithms - a review

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