Exploring Data Validity in Transportation Systems for Smart Cities

Liu, Yongxin; Weng, Xiaoxiong; Wan, Jiafu; Yue, Xuejun; Song, Houbing; Vasilakos, Athanasios V.

doi:10.1109/mcom.2017.1600240

Cited by 99 publications

(37 citation statements)

References 14 publications

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“…Yang et al [137] proposed a low-cost remote memory attestation for the smart grid. Furthermore, Liu et al [138] proposed some approaches to increase data validity of IoT level data loss for smart cities. The future smart grid can measure and share energy consumption and build full energy systems [139].…”

Section: Application Of Green Iotmentioning

confidence: 99%

Greening internet of things for greener and smarter cities: a survey and future prospects

et al. 2019

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Tremendous technology development in the field of Internet of Things (IoT) has changed the way we work and live. Although the numerous advantages of IoT are enriching our society, it should be reminded that the IoT also consumes energy, embraces toxic pollution and E-waste. These place new stress on the environments and smart world. In order to increase the benefits and reduce the harm of IoT, there is an increasing desire to move toward green IoT. Green IoT is seen as the future of IoT that is environmentally friendly. To achieve that, it is necessary to put a lot of measures to reduce carbon footprint, conserve fewer resources, and promote efficient techniques for energy usage. It is the reason for moving towards green IoT, where the machines, communications, sensors, clouds, and internet are alongside energy efficiency and reducing carbon emission. This paper presents a thorough survey of the current on-going research work and potential technologies of green IoT with an intention to provide some clues for future green IoT research.

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Section: Application Of Green Iotmentioning

confidence: 99%

Greening internet of things for greener and smarter cities: a survey and future prospects

et al. 2019

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“…Basically vehicles are equipped with sensor nodes with dedicated short-range communication (DSRC) protocol [2][3][4]. Sensed messages are communicated through wireless access (WAVE) IEEE 802.11p standard specially developed for vehicles to adapt adhoc network, messages include real-time road condition, traffic congestion, weather condition and audio/video streams [5][6][7][8] message gives driver a better understanding of current traffic events for safe driving. Road side unit (RSU) additionally provides value added services like, nearby fuel station, restaurants etc, which significantly enhances V2RSU communications.…”

Section: Introductionmentioning

confidence: 99%

MAR_Worm: Secure and Efficient Wormhole Detection Scheme through Trusted Neighbour Nodes in VANETs

2019

IJITEE

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VANET is an application and subclass of MANET’s, in which nodes are mobiles and considered as moving, communicating vehicles in a wireless adhoc network. Vehicles communicate through dedicated short rage communication (DSRC) via IEEE 802.11p protocol. With the progress of wireless technology, vehicular ad hoc network has become emerging technology to support real-time traffic condition, safety, entertainment, enhance driver experience and emergency navigation in intelligent transport system (ITS). Core of VANETs application is the communication between vehicle to vehicle (V2V), vehicle to roadside unit (V2RSU) and securing the data messages from malicious activities and attackers in the network. Securing V2V and V2RSU communication has raised challenging issues in detecting and avoiding malicious attackers for secure communications. VANET’s are exposed to different threats while routing data, wormhole attack is the most threatening routing attack which severely effects VANET routing data and causes incorrect routing by private tunnels and damages to VANET’s communication in terms of data leakage, data dropping, and delayed delivery. However existing attack detection schemes have failed to meet secured VANETs communication leading to packet loss. In this paper we propose an efficient wormhole detection mechanism by creating potential and trusted neighbour nodes discovery (TNND) in VANETs, which can detect malicious nodes through enabling common forwarding neighbour nodes as witness to monitor data packets are forwarded by malicious nodes. Basically this mechanism is based on trust management. This scheme is resilient and resistant against attackers launching malicious nodes to corrupt entire network. Simulation is carried on event driven network simulator and results shows efficient detection of wormhole nodes, increases packet delivery and performs better than existing detection scheme.

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“…Internet of Things (IoT) [1][2][3] and cloud computing [4][5][6] leverage the ubiquity of sensor-equipped devices (e.g., smart portable devices, smart sensor nodes) to collect information at low cost and provide a new paradigm for solving the complex sensing applications from the significant demands of critical infrastructure such as surveillance systems [7][8][9][10], remote patient care systems in healthcare [11,12], intelligent traffic management [13], automated vehicles in transportation environmental [14], and weather monitoring systems. Data gathering is one of the important functions for such sensor based networks, in which each smart sensor based device is sensing information from the surrounding environment and sends data to the sink via multihop routing.…”

Section: Introductionmentioning

confidence: 99%

“…Data gathering is one of the important functions for such sensor based networks, in which each smart sensor based device is sensing information from the surrounding environment and sends data to the sink via multihop routing. After data have been acquired, the sink can make decisions about perceived events, thus bringing smart life to people [8,10,11]. But, due to the limited energy of sensor devices, how to ensure that data is gathered to the sink quickly as well as in an energy-efficient way is an important issue [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Green Data Gathering under Delay Differentiated Services Constraint for Internet of Things

Huang

Liu

Wang

et al. 2018

Wireless Communications and Mobile Computing

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Energy-efficient data gathering techniques play a crucial role in promoting the development of smart portable devices as well as smart sensor devices based Internet of Things (IoT). For data gathering, different applications require different delay constraints; therefore, a delay Differentiated Services based Data Routing (DSDR) scheme is creatively proposed to improve the delay differentiated services constraint that is missed from previous data gathering studies. The DSDR scheme has three advantages: first, DSDR greatly reduces transmission delay by establishing energy-efficient routing paths (E2RPs). Multiple E2RPs are established in different locations of the network to forward data, and the duty cycles of nodes on E2RPs are increased to 1, so the data is forwarded by E2RPs without the existence of sleeping delay, which greatly reduces transmission latency. Secondly, DSDR intelligently chooses transmission method according to data urgency: the direct-forwarding strategy is adopted for delay-sensitive data to ensure minimum end-to-end delay, while wait-forwarding method is adopted for delay-tolerant data to perform data fusion for reducing energy consumption. Finally, DSDR make full use of the residual energy and improve the effective energy utilization. The E2RPs are built in the region with adequate residual energy and they are periodically rotated to equalize the energy consumption of the network. A comprehensive performance analysis demonstrates that the DSDR scheme has obvious advantages in improving network performance compared to previous studies: it reduces transmission latency of delay-sensitive data by 44.31%, reduces transmission latency of delay-tolerant data by 25.65%, and improves network energy utilization by 30.61%, while also guaranteeing the network lifetime is not lower than previous studies.

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Exploring Data Validity in Transportation Systems for Smart Cities

Cited by 99 publications

References 14 publications

Greening internet of things for greener and smarter cities: a survey and future prospects

Greening internet of things for greener and smarter cities: a survey and future prospects

MAR_Worm: Secure and Efficient Wormhole Detection Scheme through Trusted Neighbour Nodes in VANETs

Green Data Gathering under Delay Differentiated Services Constraint for Internet of Things

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