Distributed multi chain compressive sensing based routing algorithm for wireless sensor networks
• 2014
Publication Information
Authors
A Salim, W Osamy
Keywords
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Journal
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Publisher
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Issue
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Pages
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publication.type
International
Paper Link
Open Link
Supplementary Materials
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Abstract
In wireless sensor networking applications,
collecting sensed data and relaying it to the base station in
an energy efficient manner is of paramount importance. It
follows that power management and energy-efficient
communication techniques become necessary to maximize
network lifetime for wireless sensor networks (WSNs). In
this paper, our objective is to distribute energy consumption
evenly and maximize the network lifetime by utilizing
data aggregation and in-network compression technique.
We mainly focus on the combined problem of data routing
with data aggregation during routing such that minimizing
the number of packets to transmit and achieve our objective.
We propose a multi chain routing algorithm executed
with compressive sensing for data aggregating in WSNs.
We show that by using our compressive sensing based
routing algorithm significant reduction in data traffic can be
achieved, resulting in power saving and thus prolong the
network lifetime.
collecting sensed data and relaying it to the base station in
an energy efficient manner is of paramount importance. It
follows that power management and energy-efficient
communication techniques become necessary to maximize
network lifetime for wireless sensor networks (WSNs). In
this paper, our objective is to distribute energy consumption
evenly and maximize the network lifetime by utilizing
data aggregation and in-network compression technique.
We mainly focus on the combined problem of data routing
with data aggregation during routing such that minimizing
the number of packets to transmit and achieve our objective.
We propose a multi chain routing algorithm executed
with compressive sensing for data aggregating in WSNs.
We show that by using our compressive sensing based
routing algorithm significant reduction in data traffic can be
achieved, resulting in power saving and thus prolong the
network lifetime.
Staff Members - Benha University