Abstract
One of the main issues in wireless sensor networks (WSNs) is energy conservation due to limited power of sensor node battery. To save energy, WSNs operate in duty-cycling work mode, when the sensor nodes alternate between active and dormant states. In this paper, we propose an active node set selection algorithm (ANSS), based on preference aggregation. The aim of the algorithm is to reduce the number of active sensor nodes, thus decreasing energy consumption while keeping required measurement accuracy level. Nodes, included in the active node set, are selected on the base of such parameters as energy consumption, distance to a cluster head, and multisensor general accuracy.
Original language | English |
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Title of host publication | 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467383837 |
DOIs | |
Publication status | Published - 14 Jun 2016 |
Event | 2016 International Siberian Conference on Control and Communications, SIBCON 2016 - Moscow, Russian Federation Duration: 12 May 2016 → 14 May 2016 |
Other
Other | 2016 International Siberian Conference on Control and Communications, SIBCON 2016 |
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Country | Russian Federation |
City | Moscow |
Period | 12.5.16 → 14.5.16 |
Keywords
- ecological monitoring
- interval voting
- Kemeny ranking
- multisensor data fusion
- preference aggregation
- wireless sensor network
ASJC Scopus subject areas
- Signal Processing
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Modelling and Simulation
- Computer Networks and Communications