PERFECT STRATAGEM FOR QUERY PROCESSING IN WSN
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Abstract
In a WSN, huge amount of data is generated by sensor nodes continuously. Data generated by nodes make a large distributed database. Information requirements for various applications can only be satisfied if the data available in the network is extracted to a suitable location and processed efficiently. However, query based systems are popular in database type environment. Wireless Sensor Networks find usage in a wide range of applications.
It is possible due to various mechanisms such as adhoc routing protocols, in network data aggregation and signal processing etc. Performance of the network can be improved by tweaking these features. In order to evaluate performance of a network objectively a number of metrics have been defined. Some important ones are: lifetime, coverage, cost and ease of deployment, response time, temporal accuracy, security and effective sample rate. In this paper various metrics for WSN evaluation have been discussed. Many of these metrics are interrelated. Generally, performance in one metric may have to be decreased to achieve increase in some other metric.
It is possible due to various mechanisms such as adhoc routing protocols, in network data aggregation and signal processing etc. Performance of the network can be improved by tweaking these features. In order to evaluate performance of a network objectively a number of metrics have been defined. Some important ones are: lifetime, coverage, cost and ease of deployment, response time, temporal accuracy, security and effective sample rate. In this paper various metrics for WSN evaluation have been discussed. Many of these metrics are interrelated. Generally, performance in one metric may have to be decreased to achieve increase in some other metric.
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