Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In multipath routing of wireless sensor network (WSN), greedy path selection is one of multipath routing schemes to choose optimal paths on demand to transmit traffic, but the greedy selection is always prone to cause path oscillation (frequent path changes) beten each source-destination pair. To alleviate the side effect,  propose an adaptive path selection model (called WARAS) inspired by metabolism behaviors of Escherichia Coli (E. coli). The model consists of two main features. The first one is a redefined parameter called path-activity to indicate adaptation goodness of multipath traffic transmission to real-time network environments, which is inversely proportional to absolute difference beten current path quality and best path quality. The second one is a novel attractor expression for each attractor of multi-attractor equations redesigned by us to concretely specify stochastic effect of noise on the path selection. Finally, by putting forward a path quality probe scheme in a multipath AODV protocol,  validate our model can perform better on reducing average network delay and path oscillation than the greedy path selection.
['Weibing Gong', 'Min Zhang', 'Xiaolong Yang', 'Jing Li', 'Nan Zhang', 'Keping Long']
I am writing a research paper on a idea WARAS: An adaptive WSN multipath selection model inspired by metabolism behaviors of Escherichia Coli
[{"from": "human", "value": "I am writing a research paper on a idea WARAS: An adaptive WSN multipath selection model inspired by metabolism behaviors of Escherichia Coli"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In multipath routing of wireless sensor network (WSN), greedy path selection is one of multipath routing schemes to choose optimal paths on demand to transmit traffic, but the greedy selection is always prone to cause path oscillation (frequent path changes) beten each source-destination pair. To alleviate the side effect,  propose an adaptive path selection model (called WARAS) inspired by metabolism behaviors of Escherichia Coli (E. coli). The model consists of two main features. The first one is a redefined parameter called path-activity to indicate adaptation goodness of multipath traffic transmission to real-time network environments, which is inversely proportional to absolute difference beten current path quality and best path quality. The second one is a novel attractor expression for each attractor of multi-attractor equations redesigned by us to concretely specify stochastic effect of noise on the path selection. Finally, by putting forward a path quality probe scheme in a multipath AODV protocol,  validate our model can perform better on reducing average network delay and path oscillation than the greedy path selection."}]