Optimization of Data Density and Energy in Wireless Sensor Network
|Lavanya 1, Dhanalakshmi 1, Dhivyanjali 1, Priyanga 1 , Esther 2
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Wireless sensor networks consist of sensor nodes with sensing and communication capabilities. We focus on data aggregation problems in energy constrained sensor networks. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. In this paper, we present a survey of data aggregation algorithms in wireless sensor networks. We compare and contrast different algorithms on the basis of performance measures such as lifetime, latency and data accuracy. We conclude with possible future research directions. Since sensors have limited lifetime, the need for developing algorithms for aggregating sensors' data forms an important concern in the area of WSNs. We present W-LEACH, a data-stream aggregation algorithm for WSNs that extends LEACH algorithm. W-LEACH is able to handle non-uniform networks as well as uniform networks, while not affecting the network lifetime. It, instead, increases the average lifetime for sensors. We simulate our algorithm to evaluate its performance. Results show that WLEACH increases the network lifetime and the average lifetime for sensors for uniform and non-uniform WSNs.