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In this paper, we present a model for fuzzy logic based congestion estimation within a proposed QoS architecture. The architecture comprises of a QoS management and control module which is implemented both at node level and at the sink for a system level QoS administration. The QoS module implemented at sensor node forms a subset of the larger QoS(More)
Localization has been a major research area within wireless sensor network. In a self-configuring, ad hoc wireless sensor network, it is a matter of foremost importance to have knowledge of the location of sensor nodes within a particular geographical area. This location not only helps in giving more meaning to the information gathered from sensor nodes,(More)
In wireless sensor networks (WSN), congestion causes overall channel quality to degrade and loss rates to increase, leads to buffer drops and increased delays, and tends to be grossly unfair toward nodes whose data has to traverse a larger number of radio hops. In order to control the congestion in an effective manner, we need a complete congestion control(More)
In reality, vehicles are moving in the same dimension of time and space. In order to reflect this phenomenon closely in computer simulation, the methodology of synchronous update is preferred. But, due to various limitations, such as logic complexity and hard coding of synchronous update based traffic models, most microscopic simulation platforms(More)
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