Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Future smart environments are characterized by multiple nodes that sense, collect, and disseminate information about environmental phenomena through a wireless network. ,  define a set of applications that require a new form of distributed knowledge about the environment, referred to as non-uniform information granularity. By non-uniform information granularity  mean that the required accuracy or precision of information is proportional to the distance beten a source node (information producer) and current sink node (information consumer). That is, as the distance beten the source node and sink node increases, loss in information precision is acceptable. Applications that can benefit from this type of knowledge range from battlefield scenarios to rescue operations. The main objectives of this paper are two-fold: first,  precisely define non-uniform information granularity, and second  describe the different protocols that achieve non-uniform information dissemination and analyze these protocols based on complexity, energy consumption, and accuracy of information.
['Sameer Tilak', 'Amy L. Murphy', 'Wendi Rabiner Heinzelman']
I am writing a research paper on a idea Non-uniform information dissemination for sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Non-uniform information dissemination for sensor networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Future smart environments are characterized by multiple nodes that sense, collect, and disseminate information about environmental phenomena through a wireless network. ,  define a set of applications that require a new form of distributed knowledge about the environment, referred to as non-uniform information granularity. By non-uniform information granularity  mean that the required accuracy or precision of information is proportional to the distance beten a source node (information producer) and current sink node (information consumer). That is, as the distance beten the source node and sink node increases, loss in information precision is acceptable. Applications that can benefit from this type of knowledge range from battlefield scenarios to rescue operations. The main objectives of this paper are two-fold: first,  precisely define non-uniform information granularity, and second  describe the different protocols that achieve non-uniform information dissemination and analyze these protocols based on complexity, energy consumption, and accuracy of information."}]