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This project aims to develop inter-vehicular networking, computing, and sensing technologies for next generation smart vehicles. Such vehicles have embedded computers, GPS receivers, short-range wireless network interfaces, and potentially access to in-car sensors and the Internet. Furthermore, they can interact with road-side wireless sensor networks on roads where these networks are deployed. These capabilities can be leveraged into distributed computing and sensing applications over vehicular networks for safer driving, congestion avoidance, mobile sensing, or in-vehicle entertainment. To support a large spectrum of such applications, this research designs and implements vehicular-specific network protocols, middleware platforms, and security mechanisms.
Research Directions

::: Vehicular Traffic Re-routing for Congestion Avoidance
Traffic congestion causes driver frustration and costs billions of dollars annually in lost time and fuel consumption. We propose a cost-effective and easily deployable vehicular re-routing system that reduces the effects of traffic congestion. The system collects real-time traffic data from vehicles and road-side sensors, and computes proactive, individually tailored re-routing guidance, which is pushed to vehicles when signs of congestion are observed on their routes. We designed and evaluated several re-routing strategies which reduce the average travel time between 2 and 4 times when applied on congested road networks. The strategies are robust and lead to significant benefits even when many drivers ignore the guidance or the system adoption rate is low. Finally, our strategies are capable of reducing the travel time comparable to a state-of-the-art Dynamic Traffic Assignment (DTA) algorithm, while avoiding the issues that make DTA impractical, such as lack of scalability and robustness, and high computation time.

::: Routing in Vehicular Ad Hoc Networks (VANET)
Analyses of traditional routing protocols for mobile ad hoc networks demonstrate that their performance is poor in VANETs, especially in city environments. We propose RBVT, a class of city-based VANET routing protocols which leverage real-time vehicular traffic information to create road-based paths consisting of successions of road intersections that have, with high probability, network connectivity among them. Geographical forwarding is used to transfer packets between intersections on the path, reducing the path's sensitivity to node mobility. For dense networks with high contention specific to cities, RBVT optimizes the forwarding using a distributed receiver-based election of next hops based on a multi-criteria prioritization function taking into account the non-uniform radio propagation. We designed and implemented two RBVT protocols, one reactive and one proactive. The former performs best for end-to-end delivery rates, while the latter performs best for end-to-end latency. On-going work focuses on adaptive queuing mechanisms for VANETs.

::: Vehicular Traffic Generator
Testing vehicular protocols at scale requires suitable mobility models and tools to generate mobility traces to be used in simulators. We developed a microscopic vehicular traffic generator based on the car-following and lane-changing models proposed by Gipps, which belong to the class of collision avoidance vehicular mobility models. The main goal of these models is to enable a vehicle to move at the maximum safest speed that ensures that there will be no collision with the preceding vehicle. The Gipps car-following model provides the ability for smooth transitions between acceleration and deceleration. Since we target city scenarios, our generator supports traffic lights at road intersections as well as bidirectional and multi-lane traffic. We used this generator in conjunction with the ns-2 network simulator and digital road maps from the TIGER/Line database. The code for the generator along with basic documentation can be downloaded from here.

::: Programming Models and Middleware
VANETs can be leveraged to provide ubiquitous services capable of acquiring, processing, and sharing real-time information from the physical world. Programming such mobile sensing services is challenging due to frequent context changes, which often lead to situations where a service cannot produce semantically acceptable results on its current node. We proposed a novel service programming model based on the concept of context-aware migratory services. Unlike a regular service that executes always on the same node, a migratory service can migrate to different nodes in the network to accomplish its task. The migration is triggered by changes of the operating context and occurs transparently to the clients. We designed and implemented a middleware for developing migratory services. We also built TJam, a proof-of-concept migratory service that predicts traffic jams on the highways. The software distribution can be downloaded from here. This code uses the portable smart messages software, wich can be downloaded from here.

::: Trusted VANETs
To ensure fair and secure communication in VANETs, the applications running in these networks must be regulated by proper communication policies. However, enforcing policies in ad hoc networks is challenging because they lack the infrastructure and trusted entities encountered in traditional distributed systems. To solve this issue, we designed and implemented policy enforcing mechanisms based on a kernel-level trusted execution monitor built on top of the Trusted Platform Module. Under these mechanisms, two instances of an application running on different nodes may engage in communication only if these nodes enforce the same application policies. In this way, nodes can form trusted application-centric networks. Before allowing a node to join a trusted application-centric network, the trusted execution monitor verifies its trustworthiness of enforcing the application policy. The monitor also protects the policies and the software enforcing these policies from being tampered with. If any of them is compromised, it disconnects the node from the network and potential attacks are stopped at the originator.

::: VANET - Wireless Sensor Networks Symbiosis
Improving driving safety is a top objective for VANETs. However, the lack of sensing in the absence of cars ahead on the road and frequent network disconnections could lead to driving hazards: these networks cannot detect dangerous road conditions with good accuracy and cannot guarantee timely propagation of alert messages. To address these problems, this on-going research proposes to merge inexpensive wireless sensor networks (WSNs) with VANETs to create a VANET-WSN symbiotic architecture. In this architecture, sensor nodes are deployed along road sides to detect dangerous road conditions and facilitate timely information sharing among vehicles; in return, VANETs provide richer computation, communication, storage, and power resources to help WSNs overcome their resource constraints. On top of this symbiosis, we plan to build more effective on-road information systems for traffic safety.







» Exploring the Design and Implementation of Vehicular Networked Systems. NSF, 2005-2008. Collaborative research with Rutgers University.

» Real-time Information Systems for Driving Safety atop VANET-WSN symbiosis. NSF, 2008-2010. Collaborative research with Iowa State University.


» Dynamic Interior Point Method for Vehicular Traffic Optimization
Chang Guo, Demin Li, Guanglin Zhang, Xiaoning Ding, Reza Curtmola, and Cristian Borcea
IEEE Transactions on Vehicular Technology, Vol. 69, No. 5, May 2020.

» Multi-Destination Vehicular Route Planning with Parking and Traffic Constraints
Abeer Hakeem, Narain Gehani, Xiaoning Ding, Reza Curtmola, and Cristian Borcea
The 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2019), November 2019.

» Cooperative System for Free Parking Assignment
Abeer Hakeem, Narain Gehani, Reza Curtmola, Xiaoning Ding, Cristian Borcea
IEEE Vehicular Networking Conference (VNC), November 2017.

» DIVERT: A Distributed Vehicular Traffic Re-routing System for Congestion Avoidance
Juan Pan, Iulian Sandu Popa, and Cristian Borcea
IEEE Transactions on Mobile Computing, Vol.16, No. 1, 2017.

» On-The-Fly Curbside Parking Assignment
Abeer Hakeem, Narain Gehani, Reza Curtmola, Xiaoning Ding and Cristian Borcea
The 8th EAI International Conference on Mobile Computing, Applications and Services (MobiCASE), December 2016.

» Balanced Traffic Routing: Design, Implementation and Evaluation
R. Liu, H. Liu, D. Kwak, Y. Xiang, C. Borcea, B. Nath, and L. Iftode
Elsevier Ad Hoc Networks, Special Issue on Advances in Vehicular Networks. Vol. 37, February 2016.

» Vehicular Sensor Networks
Juan (Susan) Pan and Cristian Borcea
Chapter in the Handbook of Sensor Networking: Advanced Technologies and Applications, CRC Press, 2015

» Themis: A Participatory Navigation System for Balanced Traffic Routing
R. Liu, H. Liu, D. Kwak, Y. Xiang, C. Borcea, B. Nath, and L. Iftode
The 2014 IEEE Vehicular Networking Conference (VNC), December2014.

» Proactive Vehicular Traffic Re-routing for Lower Travel Time
Juan (Susan) Pan, Iulian Sandu Popa, Karine Zeitouni, and Cristian Borcea
To appear in IEEE Transactions on Vehicular Technology, 2013.

» Proactive Vehicle Re-routing Strategies for Congestion Avoidance
Juan (Susan) Pan, Mohammad A. Khan, Iulian Sandu Popa, Karine Zeitouni, and Cristian Borcea
Proceedings of the 8th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS '12), May 2012.

» Lane Recognition for Moving Vehicles Using Multiple On-car RFID Receiver Antennas - Algorithm and Its Experimental Results
Hiroaki Togashi, Cristian Borcea, and Shigeki Yamada
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, June 2012.

» On Deriving and Incorporating Multi-hop Path Duration Estimates in VANET Protocols
Josiane Nzouonta, Marvin Nakayama, and Cristian Borcea
ACM Transactions on Modeling and Computer Simulation. Vol 21, No. 2, 2011.

» A Policy Enforcing Mechanism for Trusted Ad Hoc Networks
Gang Xu, Cristian Borcea, and Liviu Iftode
IEEE Transactions on Dependable and Secure Computing. Vol 8, No. 3, 2011.

» Impact of Queuing Discipline on Packet Delivery Latency in Ad Hoc Networks
Josiane Nzouonta, Teunis Ott, and Cristian Borcea
Elsevier Performance Evaluation Journal, Special Issue on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks. Vol 66, No. 12, 2009.

» VANET Routing on City Roads using Real-Time Vehicular Traffic Information
Josiane Nzouonta, Neeraj Rajgure, Guiling Wang, and Cristian Borcea
IEEE Transactions on Vehicular Technology, Vol 58, No. 7, 2009.

» Context-Aware Fault Tolerance in Migratory Services
Oriana Riva, Josiane Nzouonta, and Cristian Borcea
Proceedings of the 5th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2008), July 2008.

» Context-aware Migratory Services in Ad Hoc Networks
Oriana Riva, Tamer Nadeem, Cristian Borcea, and Liviu Iftode
IEEE Transactions on Mobile Computing, December 2007.

» Trusted Application-Centric Ad-Hoc Networks
Gang Xu, Cristian Borcea, and Liviu Iftode
Proceedings of the 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2007), October 2007.

» The Urbanet Revolution: Sensor Power to the People!
Oriana Riva and Cristian Borcea
IEEE Pervasive Computing, Special Issue on Building a Sensor-Rich World. Apr-Jun 2007.

» Satem: Trusted Service Code Execution across Transactions
Gang Xu, Cristian Borcea, and Liviu Iftode
Proceedings of the 25th IEEE Symposium on Reliable Distributed Systems (SRDS 2006) , October 2006.

» EZCab: A Cab Booking Application using Short-range Wireless Communication
Peng Zhou, Tamer Nadeem, Porlin Kang, Cristian Borcea, and Liviu Iftode
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), March 2005.

» STEID: A Protocol for Emergency Information Dissemination in Vehicular Networks
Josiane Nzouonta and Cristian Borcea
NJIT Technical Report, 2006.

Related Projects
» CarTel
» EPFL Vechicular Networks Security Project
» CAR-2-CAR Communication Consortium
» FleetNet
» CarTALK 2000
» DynaMIT
» Network-on-Wheels
» MobEyes
» General Motors Collaborative Research Lab/CMU
» CITranS
» C3
» DieselNet

2008 - UbiNetS Lab - New Jersey Institute of Technology