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In the Wireless sensor network small size based and low power sensor nodes spreads over a complete geographical area which is connected to each other for performing or control the applications. Every application requires a control center which collects the aggregates data from all sensor nodes. Data aggregation is used for compress data and also for power saving which gives time efficient method for...
Data aggregation is generally considered an important method used to reduce traffic and increase lifetime of wireless sensor networks in both two- and three-dimensional space. It is challenging to develop efficient data aggregation solution for the wireless sensor networks since quality-of-service, such as end-to-end delay, is considered as a severe criterion required in many scenarios. In this paper...
We study the problem of maximizing the aggregated information in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the form of a tree topology, where the root corresponds to the sink node, and the rest of the network detects an event and transmits data to the sink over one or more hops. We assume a time-slotted synchronized system and a node-exclusive...
In-network aggregation has become a promising technique for improving the energy efficiency of wireless sensor networks. Aggregating data at various nodes in the network results in a reduction in the amount of bits transmitted over the network, and hence, saves energy. In this paper, we focus on another important aspect of aggregation, i.e., delay performance. In conjunction with link scheduling,...
Data collection is one of the most important functions provided by wireless sensor networks. In this paper, we study theoretical limitations of data collection and data aggregation in terms of delay and capacity for a wireless sensor network where n sensors are randomly deployed. We consider different communication scenarios (single sink or multiple sinks, regularly-deployed or randomly-deployed sinks,...
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