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A location and tracking system becomes very important to our future world of pervasive computing. An algorithm for accurate location information is being incorporated in the human walking model and in the blind human walking model. We want to implement an accurate location tracking mechanism using Zigbee along with GPS, we have incorporated Markov chain(More)
As wireless sensor networks are ubiquitous in nature, localization is an important factor to be solved. Localization of an unknown node can be identified through a set of reference nodes. In this paper, we present a novel hybrid localization technique, which determines the exact location coordinates of an unknown node through the combination of both range(More)
The wireless detector networks want secure communication to get up being in open field and being supported broadcasting technology. Within the detector node’s resource constraints ancient security mechanisms with computation and communication area unit impracticable in WSNs. During this network a threat analyze and to report numerous analysis, labor in(More)
Problem statement: Target tracking is a challenging application in Wireless Sensor Networks (WSNs) because it is computation-intensive and requires real-time location processing. This study proposes a practical target tracking system based on the Hidden Markov Model in a distributed signal processing framework. In this framework, wireless sensor nodes(More)
Speckled Computing is an emerging technology in which data will be sensed and processed in small (around 5*5 sq, millimeter) semiconductor grains called Specks. A dense and non-static wireless network of thousands of these specks is called a specknet. This specknet will collaborate among themselves to extract information from the data. Speckled computing(More)
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