Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Wireless sensor networks frequently use multi-path routing schemes beten nodes and a base station. Multi-path routing confers additional robustness against link failure, but in battery-pored networks it is desirable to choose paths which maximise the overall network lifetime — the time at which a battery is first exhausted.  introduce multi-objective evolutionary algorithms to find the routings which approximate the optimal trade-off beten network lifetime and robustness. A novel measure of network robustness, the  fragility , is introduced.  show that the distribution of traffic beten paths in a given multi-path scheme that optimises lifetime or fragility may be found by solving the appropriate linear program. A multi-objective evolutionary algorithm is used to solve the combinatorial optimisation problem of choosing routings and traffic distributions that give the optimal trade-off beten network lifetime and robustness. Efficiency is achieved by pruning the search space using  k -shortest paths, braided and edge disjoint paths. The method is demonstrated on synthetic networks and a real network deployed at the Victoria & Albert Museum, London. For these networks, using only two paths per node,  locate routings with lifetimes within 3% of those obtained with unlimited paths per node. In addition, routings which halve the network fragility are located.  also show that the evolutionary multi-path routing can achieve significant improvement in performance over a braided multi-path scheme.
['Alma As-Aad Mohammad Rahat', 'Richard M. Everson', 'Jonathan E. Fieldsend']
I am writing a research paper on a idea Evolutionary multi-path routing for network lifetime and robustness in wireless sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Evolutionary multi-path routing for network lifetime and robustness in wireless 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: Wireless sensor networks frequently use multi-path routing schemes beten nodes and a base station. Multi-path routing confers additional robustness against link failure, but in battery-pored networks it is desirable to choose paths which maximise the overall network lifetime \u2014 the time at which a battery is first exhausted.  introduce multi-objective evolutionary algorithms to find the routings which approximate the optimal trade-off beten network lifetime and robustness. A novel measure of network robustness, the  fragility , is introduced.  show that the distribution of traffic beten paths in a given multi-path scheme that optimises lifetime or fragility may be found by solving the appropriate linear program. A multi-objective evolutionary algorithm is used to solve the combinatorial optimisation problem of choosing routings and traffic distributions that give the optimal trade-off beten network lifetime and robustness. Efficiency is achieved by pruning the search space using  k -shortest paths, braided and edge disjoint paths. The method is demonstrated on synthetic networks and a real network deployed at the Victoria & Albert Museum, London. For these networks, using only two paths per node,  locate routings with lifetimes within 3% of those obtained with unlimited paths per node. In addition, routings which halve the network fragility are located.  also show that the evolutionary multi-path routing can achieve significant improvement in performance over a braided multi-path scheme."}]