We present an effective way to design and implement Reed Solomon codes in traditional wireless sensor networks.They are usually regarded as inappropriate in sensor networks despite their efficiency in terms of link reliability, because of their computational complexity which can require an important amount of energy.We use Galois field, over which code are built, features to reduce code energy consumption. We show that code with small symbol size are more suitable in sensor networks than code with standard symbol size of 8. Finally we propose a smart code selection scheme to tend towards nearly optimal RS code, according to application requirements.

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Traditional Forward Error Correction (FEC) rate allocation schemes, used to enhance the robustness of JPEG 2000 images and video against transmission errors, are based either on Packet oriented Unequal Error Protection or on Layer oriented Unequal Error Protection. As both approaches hold their advantages, unifying them under a new framework becomes a crucial issue. In this paper, we address this issue by proposing a low time-consuming smart FEC rate allocation scheme which is based on a new paradigm of combined Packet oriented and Layer oriented FEC rate allocation scheme for efficient JPEG 2000 images and video transmission over wireless channels.