Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
FLIP: a flexible interconnection protocol for heterogeneous internetworking
Mobile Networks and Applications
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Fine-grained network time synchronization using reference broadcasts
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks
Computer Networks: The International Journal of Computer and Telecommunications Networking
ATS-DA: Adaptive Timeout Scheduling for Data Aggregation in Wireless Sensor Networks
Information Networking. Towards Ubiquitous Networking and Services
Computer Networks: The International Journal of Computer and Telecommunications Networking
A fuzzy logic based approach for structure-free aggregation in vehicular ad-hoc networks
Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking
Significance-Based Failure and Interference Detection in Data Streams
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
Clustering and data aggregation as factors of wireless sensor network lifetime
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
Energy-efficient tree-based cooperative data aggregation for wireless sensor networks
International Journal of Sensor Networks
Improved minimum latency aggregation scheduling in wireless sensor networks under the SINR model
International Journal of Sensor Networks
Hi-index | 0.00 |
This paper explores in-network aggregation as a power-efficient mechanism for collecting data in wireless sensor networks. In particular, we focus on sensor network scenarios where a large number of nodes produce data periodically. Such communication model is typical of monitoring applications, an important application domain sensor networks target. The main idea behind in-network aggregation is that, rather than sending individual data items from sensors to sinks, multiple data items are aggregated as they are forwarded by the sensor network. Through simulations, we evaluate the performance of different in-network aggregation algorithms, including our own cascading timers, in terms of the trade-offs between energy efficiency, data accuracy and freshness. Our results show that timing, that is, how long a node waits to receive data from its children (downstream nodes in respect to the information sink) before forwarding data onto the next hop (toward the sink) plays a crucial role in the performance of aggregation algorithms for applications that generate data periodically. By carefully selecting when to aggregate and forward data, cascading timers achieves considerable energy savings while maintaining data freshness and accuracy. We also study in-network aggregation's cost-efficiency using simple mathematical models. Since wireless sensor networks are prone to transmission errors and losses can have considerable impact when data aggregation is used, we also propose and evaluate a number of techniques for handling packet loss. Simulations show that, when used in conjunction with aggregation protocols, the proposed techniques can effectively mitigate the effects of random transmission losses in a power-efficient way.