An Adaptive Anycasting Solution for Crowd Sensing in Vehicular Environments

Baguena, Miguel; Calafate, Carlos T.; Cano, Juan-Carlos; Manzoni, Pietro

doi:10.1109/tie.2015.2447505

Cited by 34 publications

(18 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[13][14][15] Power saving, being the most significant key performance indicator (KPI) in these networks has attracted a lot of researchers toward it. A lot of research is done in literature to reduce the energy consumption in the medium access control (MAC) protocols as in Walchli et al 16 and multicast routing in Xiangli et al, 17 Cao et al, 18 and Wu and Candan.…”

Section: Literature Reviewmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

A wireless-powered cooperative energy aware anycast routing protocol is proposed in this work. In contrary to conventional cooperative networks, it is considered here that all the relays did not have embedded energy supply, rather equipped with rechargeable batteries and energy harvesting units. Hence, from source signals, they accumulate sufficient harvested energy before the information is forwarded to its destination. Each relay between two basic modes will switch adaptively, which are information forwarding and energy harvesting. The research is limited to decode-and-forward scheme and fixed ratio combining, which works at the relay node of the network and the receiver end, respectively. The physical layer cooperative diversity and network layer multi-hop routing lead us to devise a minimum energy routing protocol as the joint optimization of power required for transmission at physical layer and also at network layer for the process to select a link. Simulating our algorithm demonstrates that the suggested cooperative energy aware anycast routing scheme has a better end-to-end delay and better ratio of packet delivery. Results further reveal that our proposed algorithm has improved energy consumption in comparison to the non-cooperative energy aware anycast scheme and the cooperation-based robust cooperative routing protocol scheme. Sensed data are allocated between nearby nodes by cooperative energy aware anycast routing in a cost-effective way in order to achieve maximum network lifetime.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…We address vehicular sensing applications, where vehicles cooperate to sense and collect environmental data that can be requested, for example, by public administrations or private data centers [ 7 ]. A general vision on architectures and technologies for V2X can be found in [ 8 ].…”

Section: Related Workmentioning

confidence: 99%

A Survey on the Roadmap to Mandate on Board Connectivity and Enable V2V-Based Vehicular Sensor Networks

Masini

Bazzi

Zanella

2018

Sensors

View full text Add to dashboard Cite

Vehicles will soon be connected and will be interacting directly with each other and with the road infrastructure, bringing substantial benefits in terms of safety and traffic efficiency. The past decade has seen the development of different wireless access technologies for vehicle-to-everything (V2X) communications and an extensive set of related use cases have been drafted, each with its own requirements. In this paper, focusing on short-range communications, we analyze the technical and economic motivations that are driving the development of new road users’ connectivity, discussing the international intentions to mandate on board devices for V2X communication. We also go in depth with the enabling wireless access technologies, from IEEE 802.11p to short-range Cellular-V2X and other complementary technologies, such as visible light communication (VLC) and millimeterWaves, up to hybrid communication and 5G. We conclude our survey with some performance comparison in urban realistic scenarios, underlying that the choice of the future enabling technology is not so easy to predict and mostly depends on mandatory laws at the international level.

show abstract

“…We address vehicular crowd sensing applications, where vehicles cooperate to sense and collect urban data requested by data centers [ 27 ]. Specifically, we assume that each vehicle periodically generates a packet containing some information collected on board, such as the vehicle identification, position, speed, direction and acceleration.…”

Section: Reference Application and Scenariomentioning

confidence: 99%

Vehicular Visible Light Networks for Urban Mobile Crowd Sensing

Masini

Bazzi

Zanella

2018

Sensors

View full text Add to dashboard Cite

Crowd sensing is a powerful tool to map and predict interests and events. In the future, it could be boosted by an increasing number of connected vehicles sharing information and intentions. This will be made available by on board wireless connected devices able to continuously communicate with other vehicles and with the environment. Among the enabling technologies, visible light communication (VLC) represents a low cost solution in the short term. In spite of the fact that vehicular communications cannot rely on the sole VLC due to the limitation provided by the light which allows communications in visibility only, VLC can however be considered to complement other wireless communication technologies which could be overloaded in dense scenarios. In this paper we evaluate the performance of VLC connected vehicles when urban crowd sensing is addressed and we compare the performance of sole vehicular visible light networks with that of VLC as a complementary technology of IEEE 802.11p. Results, obtained through a realistic simulation tool taking into account both the roadmap constraints and the technologies protocols, help to understand when VLC provides the major improvement in terms of delivered data varying the number and position of RSUs and the FOV of the receiver.

show abstract

An Adaptive Anycasting Solution for Crowd Sensing in Vehicular Environments

Cited by 34 publications

References 35 publications

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

A Survey on the Roadmap to Mandate on Board Connectivity and Enable V2V-Based Vehicular Sensor Networks

Vehicular Visible Light Networks for Urban Mobile Crowd Sensing

Contact Info

Product

Resources

About