Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study the problem of por-efficient routing for multi-hop wireless ad hoc sensor networks. The guiding insight of our work is that unlike an ad hoc wireless network, a wireless ad hoc sensor network does not require full connectivity among the nodes. As long as the sensing region is ll covered by connected nodes, the network can perform its task.  consider two kinds of geometric random graphs as base interconnection structures: unit disk graphs UDG(2, λ) and k-nearest-neighbor graphs NN(2, k) built on points generated by a Poisson point process of density λ in R 2 .  provide subgraph constructions for these two models–UDG-SENS(2, λ) and NN-SENS(2, k) respectively–and show that there are values of the parameters λ and k, λ s  and k s  respectively, above which these constructions have the following good properties: (i) they are sparse; (ii) they are por-efficient in the sense that the graph distance is no more than a constant times the Euclidean distance beten any pair of points; (iii) they cover the space ll; (iv) the subgraphs can be set up easily in a distributed fashion using local information at each node.  also describe a simple local algorithm for routing packets on these subgraphs.
['Amitabha Bagchi']
I am writing a research paper on a idea Sparse power-efficient topologies for wireless ad hoc sensor networks
[{"from": "human", "value": "I am writing a research paper on a idea Sparse power-efficient topologies for wireless ad hoc 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:  study the problem of por-efficient routing for multi-hop wireless ad hoc sensor networks. The guiding insight of our work is that unlike an ad hoc wireless network, a wireless ad hoc sensor network does not require full connectivity among the nodes. As long as the sensing region is ll covered by connected nodes, the network can perform its task.  consider two kinds of geometric random graphs as base interconnection structures: unit disk graphs UDG(2, \u03bb) and k-nearest-neighbor graphs NN(2, k) built on points generated by a Poisson point process of density \u03bb in R 2 .  provide subgraph constructions for these two models\u2013UDG-SENS(2, \u03bb) and NN-SENS(2, k) respectively\u2013and show that there are values of the parameters \u03bb and k, \u03bb s  and k s  respectively, above which these constructions have the following good properties: (i) they are sparse; (ii) they are por-efficient in the sense that the graph distance is no more than a constant times the Euclidean distance beten any pair of points; (iii) they cover the space ll; (iv) the subgraphs can be set up easily in a distributed fashion using local information at each node.  also describe a simple local algorithm for routing packets on these subgraphs."}]