Machine-to-machine (M2M) refers to technologies that allow both wireless and wired systems to communicate with other devices of the same ability. M2M uses a device (such as a sensor or meter) to capture an event (such as temperature, inventory level, etc.), which is relayed through a network (wireless, wired or hybrid) to an application (software program), that translates the captured event into meaningful information (for example, items need to be restocked). Such communication was originally accomplished by having a remote network of machines relay information back to a central hub for analysis, which would then be rerouted into a system like a personal computer.
However, modern M2M communication has expanded beyond a one-to-one connection and changed into a system of networks that transmits data to personal appliances. The expansion of wireless networks across the world has made it far easier for M2M communication to take place and has lessened the amount of power and time necessary for information to be communicated between machines. These networks also allow an array of new business opportunities and connections between consumers and producers in terms of the products being sold.
In recent years, SMS has become an increasingly important transmission mechanism for M2M communication, with the ubiquity of GSM and the relatively low cost of SMS being cited as advantages. Concerns have been raised over the reliability of SMS as an M2M channel, however the rise of direct Signaling System 7 (SS7) connected SMS gateways, which can offer increased reliability and the ability to confirm delivery, have allayed many of these fears. Source: Wikipedia
We are working on the following research areas in M2M:
Submitted Journal Papers: - C. Fischione, P.G. Park, S.C. Ergen, and A. Sangiovanni-Vincentelli, “Analytical Modeling and Optimization of Duty Cycles in Preamble-based Random Access Networks”, submitted.
- S. C. Ergen, H. S. Tetikol, R. Rajagopal and P. Varaiya, “RSSI Fingerprinting based Mobile Phone Localization with Route Constraints”, submitted.
- P. Park, S. C. Ergen, C. Fischione and A. Sangiovanni-Vincentelli, “Duty-Cycle Optimization for IEEE 802.15.4 Wireless Sensor Networks”, submitted.
- R. Rajagopal, X. Nguyen, S. C. Ergen and P. Varaiya, “Simultaneous Sequential Detection of Multiple Interacting Faults”, submitted.
- C. U. Bas and S. C. Ergen, “Ultra-Wideband Channel Model for Intra-Vehicular Wireless Sensor Networks Beneath the Chassis: From Statistical Model to Simulations”, to appear in IEEE Transactions on Vehicular Technology, 2012.
- Y. Sadi and S. C. Ergen, “Optimal Power Control, Rate Adaptation and Scheduling for UWB-Based Intra-Vehicular Wireless Sensor Networks”, to appear in IEEE Transactions on Vehicular Technology, 2012.
- Y. Sadi and S. C. Ergen, “Fast Scheduling for Delay Minimization in UWB Wireless Networks”, to appear in IEEE Communications Letters, 2012.
- S. C. Ergen and P. Varaiya, “TDMA Scheduling Algorithms for Sensor Networks”, ACM Wireless Networks Journal, vol. 16, no.4, pp. 985-997, May 2010.
- S. C. Ergen, A. Sangiovanni-Vincentelli, X. Sun, R. Tebano, S. Alalusi, G. Audisio and M. Sabatini, “The Tire as an Intelligent Sensor”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no.7, pp. 941-955, July 2009.
- S. Pollin, M. Ergen, S. C. Ergen, B. Bougard, L.V. Perre, I. Moerman, A. Bahai, P. Varaiya and F. Catthoor, “Performance Analysis of Slotted Carrier Sense IEEE 802.15.4 Medium Access Layer”, IEEE Transactions on Wireless Communication, vol.7, no.9, pp. 3359-3371, September 2008.
- S.C. Ergen and P. Varaiya, “Energy Efficient Routing with Delay Guarantee for Sensor Networks”, ACM Wireless Networks Journal, vol.13, no. 5, pp. 679-690, October 2007.
- S.C. Ergen and P. Varaiya, “PEDAMACS: Power Efficient and Delay Aware Medium Access Protocol in Sensor Networks”, IEEE Transactions on Mobile Computing, vol.5, no.7, pp. 920-930, July 2006. (Patented the idea at UC Berkeley)
- S.Y. Cheung, S. Coleri, B. Dundar, S. Ganesh, C.W. Tan and P. Varaiya, “Traffic Measurement and Vehicle Classification with a Single Magnetic Sensor”, Journal of Transportation Research Record, Feb. 2006, no. 1917. (Selected among the papers in 84th Annual Meeting, Transportation Research Board.)
- S.C. Ergen and P. Varaiya, “On Multi-hop Routing for Energy Efficiency”, IEEE Communication Letters, vol.9, no.10, pp.880-881, October 2005.
Our vehicle detection systems are installed in Istanbul and algorithms are being developed to improve the accuracy of detection and energy efficiency.