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Using buddies to live longer in a boring world

Authors: Passarella A; Goel S; Imielinski T;

Using buddies to live longer in a boring world

Abstract

In a sensor network monitoring natural environment, the readings of sensor nodes show high temporal and spatial correlation. This stems from the fact that most characteristics of natural environment (chemical concentration, temperature, humidity, pollution, etc) do not change abruptly in space and time. From a sensor’s perspective then, the environmental phenomena are quite predictable, and hence, “boring”. In this paper, we introduce the novel idea of buddies to exploit temporal correlation. We propose a simple Buddy protocol to implement this idea. We analyze the performance of the protocol and identify factors that influence it. We discuss research challenges that would pave the way for more efficient protocols based on this idea.

Country
Italy
Keywords

Energy consumption, Sensor phenomena and characterization, Intelligent networks

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    37
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%