Copyright © 2007 Min Chen et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In the environments where the source nodes are close to one another
and generate a lot of sensory data traffic with redundancy,
transmitting all sensory data by individual nodes not only wastes
the scarce wireless bandwidth, but also consumes a lot of battery
energy. Instead of each source node sending sensory data to its
sink for aggregation (the so-called client/server computing), Qi et
al. in 2003 proposed a mobile agent (MA)-based distributed sensor
network (MADSN) for collaborative signal and information processing,
which considerably reduces the sensory data traffic and query
latency as well. However, MADSN is based on the assumption that the
operation of mobile agent is only carried out within one hop in a
clustering-based architecture. This paper considers MA in multihop
environments and adopts directed diffusion (DD) to dispatch MA. The
gradient in DD gives a hint to efficiently forward the MA among
target sensors. The mobile agent paradigm in combination with the DD
framework is dubbed mobile agent-based directed diffusion (MADD).
With appropriate parameters set, extensive simulation shows that
MADD exhibits better performance than original DD (in the client/server paradigm)
in terms of packet delivery ratio, energy
consumption, and end-to-end delivery latency.