Optimization framework with reduced complexity for sensor networks with in-network processing.
File(s)
Submitted version
Author(s)
Nazemi, S
Leung, KK
Swami, A
Type
Conference Paper
Abstract
We propose a framework for optimizing in-network processing (INP) in wireless sensor networks. INP provides a platform for processing (e.g., fusing, aggregating or compressing) the data along the transmission routes in the sensor network. This can reduce the volume of transmitted data, therefore optimizing the utilization of energy and bandwidth. However, such data processing must ensure that the end result can meet given QoI requirements. We formulate the QoI-aware INP problem as a non-linear optimization problem to identify the optimal degree of data compression at each sensor node subject to satisfying a QoI requirement for the end-user. The formulation arranges all involved sensor nodes in a tree where data is transfered and processed from nodes to their parent nodes toward the root node of the tree. Under the assumption of uniform parameter setting, we show that the processing tree can be collapsed into a linear graph where the number of nodes represents the node levels of the original processing tree. This represents a significant reduction in complexity of the problem. Numerical example are provided to illustrate the performance of the proposed approach.
Date Issued
2016-09-15
Date Acceptance
2015-12-18
Citation
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, 2016
ISSN
1525-3511
Publisher
IEEE
Journal / Book Title
2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE
Copyright Statement
©2016 IEEE
Source
IEEE Wireless Communications and Networking Conference (WCNC)
Subjects
Science & Technology
Technology
Telecommunications
Publication Status
Published
Start Date
2016-04-03
Finish Date
2016-04-06
Coverage Spatial
Doha, QATAR