As the energy cost is rising steadily and the environmental pollution is becoming an important issue, the roles of process plant boilers like that of the sugar plants boilers need better understanding as they can be made to operate in either energy conserving or bio-mass conserving modes. However, practical models of the plants need to be developed before any effort at optimization and cogeneration is carried out. These boiler plants are difficult to model as they have non-linearities between input and output parameters and have large no. of parameters. Efforts have been reported in literature where techniques like that of Neural Networks have been used. A similar methodology has been evolved here successfully to model a 100 Ton water tube bagasse fired cogeneration boiler through back propagation trained Neural Networks.

that are timestamped using the local clocks on the nodes. Therefore, time synchronization becomes an indispensable piece of infrastructure in such systems. For years, protocols such as NTP have kept the clocks of networked systems in perfect synchrony. However, this new class of networks has a large density of nodes

synchronization protocol Reference Broadcast Synchronization, Timing-sync Protocol for Sensor Networks, and Flooding Time Synchronization Protocol are presented and how they attempt solve the synchronization problem is also discussed. Security concerns as well as an industry case are also presented.

z Timing-Sync Protocol z Experimental results z Future works z Sensor Network Application Implementation

We use the UPPAAL model checker for Timed Automata to verify the Timing-Sync time-synchronization protocol for sensor networks (TPSN). The TPSN protocol seeks to provide network-wide synchronization of the distributed clocks in a sensor network. Clock-synchronization algorithms for sensor networks

synchronization protocol Reference Broadcast Synchronization, Timing-sync Protocol for Sensor Networks, and Flooding Time Synchronization Protocol are presented and how they attempt solve the synchronization problem is also discussed. Security concerns as well as an industry case are also presented. See Also:

. The synchronization problem occurs during the signal propagation time, sending time, receiving time and accessing time. The two main wireless sync protocols are Timing-sync Protocol for Sensor Networks (TPSN) and Reference Broadcast Synchronization (RBS). This paper focuses on the synchronization problems that occur

-way message exchange mechanism as in TPSN (Timing-sync Protocol for Sensor Networks [2]) or NTP (Network Time Protocol). The MLE is appropriate for the case that the random delays in WSNs are exponentially distributed. However, the performance of the MLE is deteriorated considerably in the case

are re-coded on a regional basis and depending on the actual code sequences used, incrementally leading to smaller capsules. We demon-strate the operation of our online compression scheme with a time-sync protocol and discuss its performance.

. This algorithm uses TPSN (Timing-sync protocol for sensor networks) as a base synchronizer and does modifications on it to achieve a better synchronization with a lower message overhead. Basically, there are three improvements that can be applied onto TPSN, which are clustering the network, chain synchronization