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How to improve the efficiency with security with the extension of lifetime of sensor nodes is the interesting area in the field of Heterogeneous Wireless Sensor Network (WSN). Key management is also an important concept of any secure communication. Expiring secure connections cause that connectivity in network decrease. For decreasing effect of compromising a node on expiring secure connections. The heterogeneity among sensor nodes help provides scalability, notable energy efficiency and security benefits. The previous protocol uses both probabilistic key pre-distribution in the lower tier of the network architecture and public key cryptography in the upper tier to distribute session keys. We proposed a protocol for key establishment which provides a high level of security and minimizes the resource consumption of the sensor devices. This provide a better suited for heterogeneous environment when applied with sensor devices. Finally our proposed protocol is better in comparison from others by applying different simulators.

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Simultaneous capture of the texture and shape of a moving object in real time is expected to be applicable to various fields including virtual reality and object recognition. There are several difficulties must be overcome to develop a sensor able to achieve this feature: fast capturing of shape and the simultaneous capture of texture and shape. This paper presents a new type of neural network base fusion system infrared sensor, which is compatible to standard process. The proposed infrared sensor adopts a suspended n-well containing several p+/n-well diodes as infrared sensing element. The thermal analysis indicates that the sensor exhibits excellent steady-state and transient thermal property. In order to predigest the calculation, the measurement data are to be classified and selected. The fuzzy neuron network information fusion based on the T-S model is used to avoid obstacle for the mobile robot, which fully utilized the information coming from the sensors. Finally, the experiment with the autonomous robot proved that the method is really feasible and efficient.