NDLI: Joint Routing and 2D Transform Optimization for Irregular Sensor Network Grids Using Wavelet Lifting

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Passive Localization: Large Size Sensor Network Localization Based on Environmental Events

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Joint Routing and 2D Transform Optimization for Irregular Sensor Network Grids Using Wavelet Lifting

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Joint Routing and 2D Transform Optimization for Irregular Sensor Network Grids Using Wavelet Lifting

Content Provider	ACM Digital Library
Author	Ortega, Antonio Shen, Godwin
Abstract	We address the joint optimization of routing and compression for wireless sensor networks using a lifting-based 2D transform that can be computed along arbitrary routing trees. The proposed 2D transform allows for unidirectional computation, thereby eliminating costly backward transmissions often required by existing 2D transforms. We also propose a framework for optimizing the transform by selecting among a different set of coding schemes (i.e., different levels in the wavelet decomposition). Since our transform can operate on arbitrary routing trees, we focus on the problem of jointly optimizing routing trees based on inter-node data correlation and inter-node distance. The two extreme solutions would be i) to route data along paths that maximize inter-node data correlation (at the risk of increasing transport costs), corresponding to a minimum spanning tree (MST), or ii) to follow shortest path tree (SPT) routing (where inter-node data correlation may not be as high). We propose an optimization technique that exhaustively searches for the optimal tree over a set of combinations of MST and SPT. We also propose a heuristic approximation algorithm that is amenable for use on larger networks and with which we observe total cost reductions close to 10% for some of the data.
Starting Page	183
Ending Page	194
Page Count	12
File Format	PDF
ISBN	9780769531571
DOI	10.1109/IPSN.2008.24
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-04-22
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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