Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Causal message ordering is required for several distributed applications. In order to preserve causal ordering, only direct dependency information beten messages with respect to the destination process(es) should be sent with each message. By eliminating other kinds of control information from the messages, the communication overheads can be significantly reduced.   present an algorithm that uses this knowledge to efficiently enforce causal ordering of messages. The proposed algorithm does not require any prior knowledge of the network or communication topology. As computation proceeds, it acquires knowledge of the logical communication topology and is capable of handling dynamically changing multicast communication groups. With regard to communication overheads, the algorithm is optimal for the broadcast communication case. Its energy efficiency and four bandwidth requirement make it suitable for mobile computing systems.  present a strategy that employs the algorithm for causally ordered multicasting of messages in mobile computing environments.
['Ravi Prakash', 'Michel Raynal', 'Mukesh Singhal']
I am writing a research paper on a idea An efficient causal ordering algorithm for mobile computing environments
[{"from": "human", "value": "I am writing a research paper on a idea An efficient causal ordering algorithm for mobile computing environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Causal message ordering is required for several distributed applications. In order to preserve causal ordering, only direct dependency information beten messages with respect to the destination process(es) should be sent with each message. By eliminating other kinds of control information from the messages, the communication overheads can be significantly reduced.   present an algorithm that uses this knowledge to efficiently enforce causal ordering of messages. The proposed algorithm does not require any prior knowledge of the network or communication topology. As computation proceeds, it acquires knowledge of the logical communication topology and is capable of handling dynamically changing multicast communication groups. With regard to communication overheads, the algorithm is optimal for the broadcast communication case. Its energy efficiency and four bandwidth requirement make it suitable for mobile computing systems.  present a strategy that employs the algorithm for causally ordered multicasting of messages in mobile computing environments."}]