Abstract:
Application-specific data aggregation can play a significant role in energy-efficient operation of wireless sensor networks. Existing aggregation techniques rely heavily ...Show MoreMetadata
Abstract:
Application-specific data aggregation can play a significant role in energy-efficient operation of wireless sensor networks. Existing aggregation techniques rely heavily on the routing protocol to build shortest paths to route node measurements to the base station and are limited in the types of supported queries. We propose an aggregation scheme that utilizes the inherent information gradients present in the network. The query is directed to the source of information, resulting in better load sharing in the network. We support a variety of queries ranging from simple maximum, minimum or average of the readings of sensor nodes to more complex quantile queries such as k highest values or kth highest value through a generic query algorithm. The query algorithm shifts the computation to the querying agent, thus eliminating any in-network aggregation.
Published in: 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
Date of Conference: 30 September 2009 - 02 October 2009
Date Added to IEEE Xplore: 22 January 2010
ISBN Information:
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- IEEE Keywords
- Index Terms
- Aggregate Data ,
- Sensor Networks ,
- Base Station ,
- Wireless Sensor Networks ,
- Aggregation Scheme ,
- Complex Queries ,
- Data Structure ,
- Local Changes ,
- Global Value ,
- Tree Structure ,
- Root Node ,
- Global Structure ,
- Tree Nodes ,
- Identification Of Changes ,
- Root Of The Tree ,
- Value Network ,
- Secondary Peak ,
- Communication Overhead ,
- Sensor Readings ,
- Form Of Tree ,
- Reverse Path ,
- Network Diameter ,
- Global Structure Of Data ,
- Longer Path ,
- Top Values ,
- Communication Links
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Aggregate Data ,
- Sensor Networks ,
- Base Station ,
- Wireless Sensor Networks ,
- Aggregation Scheme ,
- Complex Queries ,
- Data Structure ,
- Local Changes ,
- Global Value ,
- Tree Structure ,
- Root Node ,
- Global Structure ,
- Tree Nodes ,
- Identification Of Changes ,
- Root Of The Tree ,
- Value Network ,
- Secondary Peak ,
- Communication Overhead ,
- Sensor Readings ,
- Form Of Tree ,
- Reverse Path ,
- Network Diameter ,
- Global Structure Of Data ,
- Longer Path ,
- Top Values ,
- Communication Links