Abstract
We study the problem of maximizing the lifetime of data-gathering tree for wireless sensor networks (WSNs). Both data routing and aggregation are considered at the same time to improve the energy efficiency for data collection in WSNs. With different data-aggregation methods, three aggregation modes are studied: full aggregation, non-aggregation, and a hybrid partialaggregation using Compressive Sensing. For each mode, an exact solution based on Mixed-integer linear programming (MIP) is proposed to find the optimal data-gathering tree. Although nonlinear relation exists between the sensor node lifetime and the number of data units that receives or transmits in each time slot, we succeed to express it by a set of linear equations. Performance results demonstrate that the lifetime of data-gathering tree can be increased tenfold with efficient data aggregation methods.
| Original language | English |
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| Title of host publication | 2015 IEEE Global Communications Conference, GLOBECOM 2015 |
| Publisher | IEEE |
| ISBN (Electronic) | 9781479959525 |
| DOIs | |
| Publication status | Published - 1 Jan 2015 |
| Externally published | Yes |
| Event | 58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States Duration: 6 Dec 2015 → 10 Dec 2015 |
Conference
| Conference | 58th IEEE Global Communications Conference, GLOBECOM 2015 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 6/12/15 → 10/12/15 |
Keywords
- Compressive Sensing (CS)
- Data-Gathering Tree
- Full Aggregation
- Hybrid Partial- Aggregation
- Mixed Integer linear Programming (MIP)
- Non-Aggregation
- WSNs
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Communication