Exploiting a Prioritized MAC Protocol to Efficiently Compute Interpolations
Ref: HURRAY-TR-070630 Publication Date: 25 to 28, Sep, 2007
Exploiting a Prioritized MAC Protocol to Efficiently Compute Interpolations
Ref: HURRAY-TR-070630 Publication Date: 25 to 28, Sep, 2007Abstract:
Consider a network where all nodes share a single
broadcast domain such as a wired broadcast network.
Nodes take sensor readings but individual sensor readings
are not the most important pieces of data in the system.
Instead, we are interested in aggregated quantities of
the sensor readings such as minimum and maximum values,
the number of nodes and the median among a set of
sensor readings on different nodes. In this paper we show
that a prioritized medium access control (MAC) protocol
may advantageously be exploited to efficiently compute
aggregated quantities of sensor readings. In this context,
we propose a distributed algorithm that has a very low
time and message-complexity for computing certain aggregated
quantities. Importantly, we show that if every
sensor node knows its geographical location, then sensor
data can be interpolated with our novel distributed algorithm,
and the message-complexity of the algorithm is independent
of the number of nodes. Such an interpolation
of sensor data can be used to compute any desired function;
for example the temperature gradient in a room (e.g.,
industrial plant) densely populated with sensor nodes, or
the gas concentration gradient within a pipeline or traffic
tunnel.
Document:
12th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'07), IEEE, pp 1100-1106.
Patras, Greece.
DOI:10.1109/EFTA.2007.4416905.
WOS ID: 000254117100160.
Record Date: 1, May, 2007