We present an incremental network programming mechanism which reprograms wireless sensors quickly by transmitting the incremental changes using the Rsync algorithm;we generate the difference of the two program images ...We present an incremental network programming mechanism which reprograms wireless sensors quickly by transmitting the incremental changes using the Rsync algorithm;we generate the difference of the two program images allowing us to distribute only the key changes. Unlike previous approaches, our design does not assume any prior knowledge of the program code structure and can be applied to any hardware platform. To meet the resource constraints of wireless sensors, we tuned the Rsync algorithm which was originally made for updating binary files among powerful host machines. The sensor node processes the delivery and the decoding of the difference script separately making it easy to extend for multi-hop network programming. We are able to get a speed-up of 9.1 for changing a constant and 2.1 to 2.5 for changing a few lines in the source code.展开更多
We present a network stack implementation for a wireless sensor platform based on a byte-level radio. The network stack provides error-correction code, multi-channel capability and reliable communication for a high pa...We present a network stack implementation for a wireless sensor platform based on a byte-level radio. The network stack provides error-correction code, multi-channel capability and reliable communication for a high packet reception rate as well as a basic packet-level communication interface. In outdoor tests, the packet reception rate is close to 100% within 800 ft and is reasonably good up to 1100 ft. This is made possible by using error correction code and a reliable transport layer. Our implementation also allows us to choose a fre-quency among multiple channels. By using multiple frequencies as well as a reliable transport layer, we can achieve a high packet reception rate by paying additional retransmission time when collisions increase with additional sensor nodes.展开更多
We present a network programming mechanism that can flexibly and quickly re-task a large multi-hop network of wireless sensor nodes. Our mechanism allows each sensor node to be incrementally reprogrammed with heteroge...We present a network programming mechanism that can flexibly and quickly re-task a large multi-hop network of wireless sensor nodes. Our mechanism allows each sensor node to be incrementally reprogrammed with heterogeneous images of native program code using Rsync block comparison algorithm, point-to-point routing with the BLIP IPv6 stack, and image volume management with Deluge2. With our re-tasking method, we demonstrate an order of magnitude speed-up on small code changes over non-incremental delivery. Our mechanism also scales sub-linearly in the diameter of the network. Collectively, these advancements qualitatively change the software life cycle of the embedded networked systems.展开更多
文摘We present an incremental network programming mechanism which reprograms wireless sensors quickly by transmitting the incremental changes using the Rsync algorithm;we generate the difference of the two program images allowing us to distribute only the key changes. Unlike previous approaches, our design does not assume any prior knowledge of the program code structure and can be applied to any hardware platform. To meet the resource constraints of wireless sensors, we tuned the Rsync algorithm which was originally made for updating binary files among powerful host machines. The sensor node processes the delivery and the decoding of the difference script separately making it easy to extend for multi-hop network programming. We are able to get a speed-up of 9.1 for changing a constant and 2.1 to 2.5 for changing a few lines in the source code.
文摘We present a network stack implementation for a wireless sensor platform based on a byte-level radio. The network stack provides error-correction code, multi-channel capability and reliable communication for a high packet reception rate as well as a basic packet-level communication interface. In outdoor tests, the packet reception rate is close to 100% within 800 ft and is reasonably good up to 1100 ft. This is made possible by using error correction code and a reliable transport layer. Our implementation also allows us to choose a fre-quency among multiple channels. By using multiple frequencies as well as a reliable transport layer, we can achieve a high packet reception rate by paying additional retransmission time when collisions increase with additional sensor nodes.
文摘We present a network programming mechanism that can flexibly and quickly re-task a large multi-hop network of wireless sensor nodes. Our mechanism allows each sensor node to be incrementally reprogrammed with heterogeneous images of native program code using Rsync block comparison algorithm, point-to-point routing with the BLIP IPv6 stack, and image volume management with Deluge2. With our re-tasking method, we demonstrate an order of magnitude speed-up on small code changes over non-incremental delivery. Our mechanism also scales sub-linearly in the diameter of the network. Collectively, these advancements qualitatively change the software life cycle of the embedded networked systems.
