Constructing Load-Balanced Data Aggregation Trees in Probabilistic Wireless Sensor Networks

Provided by: Georgia State University
Topic: Mobility
Format: PDF
Data Gathering is a fundamental task in Wireless Sensor Networks (WSNs). Data gathering trees capable of performing aggregation operations are also referred to as Data Aggregation Trees (DATs). Currently, most of the existing works focus on constructing DATs according to different user requirements under the Deterministic Network Model (DNM). However, due to the existence of many probabilistic lossy links in WSNs, it is more practical to obtain a DAT under the realistic Probabilistic Network Model (PNM). Moreover, the load-balance factor is neglected when constructing DATs in current literatures. Therefore, in this paper, the authors focus on constructing a Load-Balanced Data Aggregation Tree (LBDAT) under the PNM.

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