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The emergence of wireless sensor networks (WSNs) has powerful results on various areas of applications such as medicine and healthcare, air pollution detection, fire detection, water quality monitoring etc. Wireless biomedical sensor networks can supply non-obstructive , long-time, and real-time medical convoy for the chronic patients. The use of wireless medical sensor networks on a large scale can successfully minimize the maximum workloads for the technically growing society and prolonged health service for the chronically ill patients. It also reduces the possibility of errors caused by human. For this there is a need for a variety of types of data to be collected and sent to the sink for processing and diagnosis. In addition there may be heterogeneity in the types of devices which are participating in the network. Here author presents a Zigbee based Ehealthcare framework which will provide seamless support to patients from far off or rural areas. Here also proposed a data format to be captured in WSNs that will be compatible in WLANs as well as in the cellular networks which will collect data from the patients. General Terms Sensor Network, Clustering Technique, E-healthcare System.

Designing a WSN Data Format for WLAN and Cellular Network Compatibility in an E-healthcare Framework