booktitle = "28th IEEE International Conference on Advanced
Information Networking and Applications (AINA 2014)",
title = "Evaluation of a Genetic Programming Approach to
Generate Wireless Sensor Network Applications",
year = "2014",
month = may,
pages = "775--782",
abstract = "This article presents a systematic evaluation of a
framework based on Genetic Programming (GP) which aims
the automatic generation of Wireless Sensor Network
(WSN) applications. Developing WSN applications poses a
challenge due to massive distribution of the network
nodes. The automatic generation of applications reduces
drastically costs, since the manual development is a
laborious process. In our approach, the user describes
the desired global behaviour as a fitness function
which guides the evolution of the application by the
GP. A scripting language based on events and actions is
used to represent the WSN behaviour and the GP
generates programs in this language. In order to
evaluate the framework, a problem of multiple events
detection is introduced. Several problem instances were
used to appraise the performance of our method under
different parameters. Results evidence the feasibility
of our approach for the proposed problem, highlighting
the challenges posed by the large search space and the
dead end routing problem.",