Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present ℛ 2 , an incremental ℛeprogramming approach using Relocatable code, to improve program similarity for efficient incremental reprogramming in networked embedded systems. ℛ 2  achieves a higher degree of similarity than existing approaches by mitigating the effects of both function shifts and data shifts. ℛ 2  makes efficient use of memory and does not degrade program quality. It adopts an optimized differencing algorithm to generate small delta files for efficient dissemination.  demonstrate ℛ 2 's advantages through detailed analysis of TinyOS examples.  also present case studies on the software programs of a large-scale and long-term sensor system—GreenOrbs. Results show that ℛ 2  reduces the dissemination cost by approximately 65% compared to Deluge—state-of-the-art network reprogramming approach, and reduces the dissemination cost by approximately 20% compared to Zephyr and Hermes—the latest works on incremental reprogramming.
['Wei Dong', 'Yunhao Liu', 'Chun Chen', 'Jiajun Bu', 'Chao Huang']
I am writing a research paper on a idea ℛ 2 : Incremental ℛeprogramming using ℛelocatable code in networked embedded systems
[{"from": "human", "value": "I am writing a research paper on a idea \u211b 2 : Incremental \u211beprogramming using \u211belocatable code in networked embedded systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present \u211b 2 , an incremental \u211beprogramming approach using Relocatable code, to improve program similarity for efficient incremental reprogramming in networked embedded systems. \u211b 2  achieves a higher degree of similarity than existing approaches by mitigating the effects of both function shifts and data shifts. \u211b 2  makes efficient use of memory and does not degrade program quality. It adopts an optimized differencing algorithm to generate small delta files for efficient dissemination.  demonstrate \u211b 2 's advantages through detailed analysis of TinyOS examples.  also present case studies on the software programs of a large-scale and long-term sensor system\u2014GreenOrbs. Results show that \u211b 2  reduces the dissemination cost by approximately 65% compared to Deluge\u2014state-of-the-art network reprogramming approach, and reduces the dissemination cost by approximately 20% compared to Zephyr and Hermes\u2014the latest works on incremental reprogramming."}]