Real-time Train Localization Using Wireless Sensor Networks
The world's railway infrastructure has been experiencing substantial growth in the last two decades. This growth imposes much greater pressure to rail operators due to the need to guarantee the safety of rail transportation. Real-time train localization plays an important role in achieving high-level rail safety and reliability. Collaborated with our industrial partner, CCT Infotech (NZ), we are currently investigating localization techniques using wireless sensor networks to improve the safety of rail transportation.
Ultra-reliable High Throughput Wireless Sensor Networks
The increased industrial interest in wireless sensor networks demands a shift from optimizing protocols for reporting sporadic events, to solutions for high-rate data collection and dissemination. We are investigating ultra-reliable high-throughput data communication protocols under the communication constraints of commodity sensor network platforms. Recent research outputs include:
- Rapid Convergecast on Commodity Hardware: Performance Limits and Optimal Policies
Haibo Zhang, Fredrik Osterlind, Pablo Soldati, Thiemo Voigt and Mikael Johansson
Proceeding of the 7th annual IEEE Communications Society conference on Sensor, Mesh and Ad-hoc Communications and Networks (SECON),2010.
Achievements: A time-optimal and memory-efficient convergecast TDMA protocol is proposed. Simulation and experimental results show that the proposed scheme our scheme achieves a throughput of 203 kbit/s (86.4% of the theoretical upper bound): up to 86.24 % improvement compared with traditional TDMA-based convergecast. With optimal routing tree and maximum MAC layer payload, convergecast in a network with 20 sensor nodes can be completed in only 100ms.
Efficient Link Scheduling in WirelessHART Networks
Wireless is unleashing the next wave of industry transformation due to its inherent flexibility, scalability, and efficiency for improving distributed sensing and control. WirelessHART, the first open and interoperable wireless communication standard specially designed to address the critical needs of real-world industrial applications, has been recently released. We are investigating time- and channel-efficient link scheduling policies in WirelessHART networks. Recent research outputs include:
- Optimal Routing and Scheduling of Deadline-Constrained Traffic Over Lossy Networks
Pablo Soldati, Haibo Zhang, Zhenhua Zou and Mikael Johansson
Proceeding of the IEEE Global Telecommunications Conference (GLOBECOM),2010.
- Delay-Constrained Maximum Reliability Routing Over Lossy Links
Zhenhua Zou, Pablo Soldati, Haibo Zhang and Mikael Johansson
Proceeding of the 49th IEEE Conference on Decision and Control (CDC),2010.
- Optimal Link Scheduling and Channel Assignment for Convergecast in Linear WirelessHART Networks
Haibo Zhang, Pablo Soldati and Mikael Johansson
Proceeding of the 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT),2009.
- Methodology and Tools for Controller-networking Codesign in WirelessHART
Joonas Pesonen, Haibo Zhang, Pablo Soldati and Mikael Johansson
Proceeding of the 14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),2009.
Energy-efficient Routing in Wireless Sensor Networks
Wireless sensor networks have limitations in terms of energy, computing and storage capacities. I am investigating energy-efficient routing protocols for wireless sensor networks. The representative research outputs includes:
- Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks
Haibo Zhang and Hong Shen
IEEE Transactions on Parallel and Distributed Systems (TPDS) 21(6): 881-896, 2010.
Network Lifetime Maximization in Wireless Sensor Networks
Unbalanced energy consumption is an inherent problem in wireless sensor networks characterized by multi-hop routing and many-to-one traffic pattern, and this uneven energy dissipation can significantly reduce network lifetime. I am investigating efficient energy-balancing schemes to maximize network lifetime. The representative research outputs includes:
- Balancing Energy Consumption to Maximize Network Lifetime in Data-gathering Sensor Networks
Haibo Zhang and Hong Shen
IEEE Transactions on Parallel and Distributed Systems (TPDS), 20 (10): 1526-1539.