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See detailIoV-based Deployment and Scheduling of Charging Infrastructure in Intelligent Transportation Systems
Ejaz, Waleed; Naeem, Mohammed; Sharma, Shree Krishna UL et al

in IEEE Sensors Journal (2020)

Internet of vehicles (IoV) is an emerging paradigm to exchange and analyze information collected from sensors using wireless technologies between vehicles and people, vehicles and infrastructure, and ... [more ▼]

Internet of vehicles (IoV) is an emerging paradigm to exchange and analyze information collected from sensors using wireless technologies between vehicles and people, vehicles and infrastructure, and vehicles-to-vehicles. With the recent increase in the number of electric vehicles (EVs), the seamless integration of IoV in EVs and charging infrastructure can offer environmentally sustainable and budget-friendly transportation. In this paper, we propose an IoV-based framework that consists of deployment and scheduling of a mobile charging infrastructure. For the deployment, we formulate an optimization problem to minimize the total cost of mobile charging infrastructure placement while considering constraints on the number of EVs that can be charged simultaneously. The formulated problem is mixedinteger programming and solved by using the branch and bound algorithm. We then propose an IoV-based scheduling scheme for EVs charging to minimize travel distance and charging costs while satisfying the constraints of charging time requirement of EVs and resources of a charging station.We consider passive road sensors and traffic sensors in the proposed IoV-based scheduling scheme to enable EV users for finding a charging station that can fulfill their requirements, as well as to enable service providers to know about the demand in the area. Simulation results illustrate the significant impact of the optimal deployment of charging infrastructure and scheduling optimization on the efficiency of EVs charging. [less ▲]

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See detailPerformance Enhancement for Multihop Harvest-to-Transmit WSNs With Path-Selection Methods in Presence of Eavesdroppers and Hardware Noises
Tran Dinh, Hieu UL; Tran, Trung Duy; Kim, Bung-Seo

in IEEE Sensors Journal (2018), 18(12), 5173-5186

Energy-harvesting-based physical layer security (PLS) has become a promising technique, as it not only secures information from eavesdropping without upper layer data encryption, but it also improves the ... [more ▼]

Energy-harvesting-based physical layer security (PLS) has become a promising technique, as it not only secures information from eavesdropping without upper layer data encryption, but it also improves the energy efficiency of wireless networks. However, it imposes new challenges, as adversary parties can overhear the transmission of confidential information between the source and destination via a relay. Therefore, the transmit power of the signals must be large enough for energy harvesting, but it must also be small enough to avoid eavesdropping. This is even more challenging with multi-hop multi-path wireless networks. Motivated by these observations, this paper proposes three innovative protocols, namely, the shortest path selection (SPS) protocol, random path selection (RPS) protocol, and best path selection (BPS) protocol. These will enhance the security of multi-hop multi-path randomize-and-forward (RF) cooperative wireless sensor networks (WSNs) under the presence of eavesdroppers and hardware impairment, wherein the source node and relay nodes are capable of harvesting energy from beacon for data transmission. Furthermore, we derive exact closed-form expressions and the asymptotic outage probability for each protocol under multiple eavesdropping attacks. The simulation results validate the theoretical results. [less ▲]

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See detailOn-the-Fly Bandwidth Reservation for 6TiSCH Wireless Industrial Networks
Palattella, Maria Rita UL; Watteyne, Thomas; Wang, Qin et al

in IEEE Sensors Journal (2015)

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See detailOn Optimal Scheduling in Duty-Cycled IoT Industrial Applications using IEEE 802.15.4e TSCH
Palattella, Maria Rita UL; Accettura, Nicola; Grieco, Luigi Alfredo et al

in IEEE Sensors Journal (2013), 13(10), 3655-3666

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See detailEnergy-Efficient Distributed Spectrum Sensing for Cognitive Sensor Networks
Maleki, Sina UL; Pandharipande, Ashish; Leus, Geert

in IEEE Sensors Journal (2011), 11(3), 565-573

Reliability and energy consumption in detection are key objectives for distributed spectrum sensing in cognitive sensor networks. In conventional distributed sensing approaches, although the detection ... [more ▼]

Reliability and energy consumption in detection are key objectives for distributed spectrum sensing in cognitive sensor networks. In conventional distributed sensing approaches, although the detection performance improves with the number of radios, so does the network energy consumption. We consider a combined sleeping and censoring scheme as an energy efficient spectrum sensing technique for cognitive sensor networks. Our objective is to minimize the energy consumed in distributed sensing subject to constraints on the detection performance, by optimally choosing the sleeping and censoring design parameters. The constraint on the detection performance is given by a minimum target probability of detection and a maximum permissible probability of false alarm. Depending on the availability of prior knowledge about the probability of primary user presence, two cases are considered. The case where a priori knowledge is not available defines the blind setup; otherwise the setup is called knowledge-aided. By considering a sensor network based on IEEE 802.15.4/ZigBee radios, we show that significant energy savings can be achieved by the proposed scheme. [less ▲]

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