Continuous Monitoring meets Synchronous Transmissions and In-Network Aggregation
Paper i proceeding, 2019

Continuously monitoring sensor readings is an important building block for many IoT applications. The literature offers resourceful methods that minimize the amount of communication required for continuous monitoring, where Geometric Monitoring (GM) is one of the most generally applicable ones. However, GM has unique communication requirements that require specialized network protocols to unlock the full potential of the algorithm. In this work, we show how application and protocol co-design can improve the real-life performance of GM, making it an application of practical value for real IoT deployments. We orchestrate the communication of GM to utilize the properties of a state-of-the-art wireless protocol (Crystal) that relies on synchronous transmissions and is designed for aperiodic traffic, as needed by GM. We bridge the existing gap between the capabilities of the protocol and the requirements of GM, especially in the case of periods of heavy communication. We do so by introducing an in-network aggregation technique relying on latent opportunities for aggregation that we exploit in Crystal's design, allowing us to reliably monitor duplicate-sensitive aggregate functions, such as sum, average or variance. Our results from testbed experiments with a publicly available dataset show that the combination of GM and Crystal results in a very small duty-cycle, a 2.2x - 3.2x improvement compared to the baseline and up to 10x compared to previous work. We also show that our in-network aggregation technique reduces the duty-cycle by up to 1.38x.

sensor networks

synchronous transmissions

co-design

aggregation

continuous monitoring

Författare

Charalampos Stylianopoulos

Chalmers, Data- och informationsteknik, Nätverk och system

Magnus Almgren

Chalmers, Data- och informationsteknik, Nätverk och system

Olaf Landsiedel

Chalmers, Data- och informationsteknik, Nätverk och system

Marina Papatriantafilou

Chalmers, Data- och informationsteknik, Nätverk och system

Proceedings of 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)

157-166

15th International Conference on Distributed Computing in Sensor Systems (DCOSS)
Santorini Island, Greece,

Ämneskategorier

Datorteknik

Telekommunikation

Kommunikationssystem

DOI

10.1109/DCOSS.2019.00043

Mer information

Senast uppdaterat

2019-08-23