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In this paper we are proposing a wireless sensor network based solution for typical indian city traffic. The objective is to understand and solve the congestion of the chaotic traffic. We are proposing to control and optimize the duration of time a signal is green, and the number of vehicles passing through the junction, in a given interval of time. Our objective is to use WSN to make the traffic...
Energy is a valuable resource in wireless sensor networks (WSNs). The status of energy consumption should be continuously monitored after network deployment. The information about energy status can be used to early notify both sensor nodes and network deployers about resource depletion in some parts of the network. It can also be used to perform energy-efficient routing in WSNs. In this paper, we...
Wireless sensor networks may be deployed in an environment the intrinsic pattern of data is unknown and may not be amenable to statistical aggregation techniques. Moreover, the dynamic nature of the environment may generate large amount data which may be highly similar with few data values that may be noisy or may indicate interesting observation. The present work proposes resonance based clustering...
The high cost of communication vis-a-vis computation cost necessitates efficient aggregation in wireless sensor networks. This paper proposes and evaluates two different clustering techniques, FAMNN and DBA. The first approach based on adaptive resonance theory whereas the second approach is based on density based clustering of data. The first technique, FAMNN is based on fuzzy ART and fuzzy ARTMAP...
Support for intelligent, autonomous, adaptive and distributed resource management is a key to the success of scalable and dynamic wireless sensor network applications. Distributed independent reinforcement learning (DIRL) is a micro-learning framework that enables distributed, adaptive resource management using only local information at individual sensor nodes. In this paper we propose COllective...
A wireless sensor network is a resource constrained network with scarcity of computational capacity, memory, bandwidth and energy. The problem is further accentuated in multimedia wireless sensor networks. Raw video cannot be transferred over a wireless channel. Video compression is computationally intensive and even compressed video requires large amount of bandwidth for transfer. This entails the...
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