Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of routing in sensor networks from the point of view od data collection. That is, given the initial amount of battery energy in each node, the aim is to determine how much data can each source transmit until the network is partitioned (i. e., until the nodes cannot find end-to-end routes to their respective sinks). In addition, to respond to some specific applications' requirements, when determining such nodal data volume distribution, fairness among nodes is taken into account. The problem is formulated as a concave utility maximization and a sub-gradient algorithm is proposed to solve it distributively. Some numerical results are given and the convergence of the algorithm is discussed.
['Ka-Lok Hung', 'Brahim Bensaou', 'Junhua Zhu', 'Farid Nait-Abdesselam']
I am writing a research paper on a idea Energy-Aware Fair Routing in Wireless Sensor Networks with Maximum Data Collection
[{"from": "human", "value": "I am writing a research paper on a idea Energy-Aware Fair Routing in Wireless Sensor Networks with Maximum Data Collection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of routing in sensor networks from the point of view od data collection. That is, given the initial amount of battery energy in each node, the aim is to determine how much data can each source transmit until the network is partitioned (i. e., until the nodes cannot find end-to-end routes to their respective sinks). In addition, to respond to some specific applications' requirements, when determining such nodal data volume distribution, fairness among nodes is taken into account. The problem is formulated as a concave utility maximization and a sub-gradient algorithm is proposed to solve it distributively. Some numerical results are given and the convergence of the algorithm is discussed."}]