Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Minimum-Latency Aggregation Scheduling (MLAS) is a problem of fundamental importance in wireless sensor networks. There hover has been very little effort spent on designing algorithms to achieve sufficiently fast data aggregation under the physical interference model which is a more realistic model than traditional protocol interference model. In particular, a distributed solution to the problem under the physical interference model is challenging because of the need for global-scale information to compute the cumulative interference at any individual node. ,  propose a distributed algorithm that solves the  MLAS  problem under the physical interference model in networks of arbitrary topology in  O(K)  time slots, where  K  is the logarithm of the ratio beten the lengths of the longest and shortest links in the network.  also give a centralized algorithm to serve as a benchmark for comparison purposes, which aggregates data from all sources in  O(log 3 n)  time slots (where  n  is the total number of nodes). This is the current best algorithm for the problem in the literature. The distributed algorithm partitions the network into cells according to the value  K , thus obviating the need for global information. The centralized algorithm strategically combines our aggregation tree construction algorithm with the non-linear por assignment strategy in [9].  prove the correctness and efficiency of our algorithms, and conduct empirical studies under realistic settings to validate our analytical results.
['Hongxing Li', 'Qiang Sheng Hua', 'Chuan Wu', 'Francis Chi Moon Lau']
I am writing a research paper on a idea Minimum-latency aggregation scheduling in wireless sensor networks under physical interference model
[{"from": "human", "value": "I am writing a research paper on a idea Minimum-latency aggregation scheduling in wireless sensor networks under physical interference model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Minimum-Latency Aggregation Scheduling (MLAS) is a problem of fundamental importance in wireless sensor networks. There hover has been very little effort spent on designing algorithms to achieve sufficiently fast data aggregation under the physical interference model which is a more realistic model than traditional protocol interference model. In particular, a distributed solution to the problem under the physical interference model is challenging because of the need for global-scale information to compute the cumulative interference at any individual node. ,  propose a distributed algorithm that solves the  MLAS  problem under the physical interference model in networks of arbitrary topology in  O(K)  time slots, where  K  is the logarithm of the ratio beten the lengths of the longest and shortest links in the network.  also give a centralized algorithm to serve as a benchmark for comparison purposes, which aggregates data from all sources in  O(log 3 n)  time slots (where  n  is the total number of nodes). This is the current best algorithm for the problem in the literature. The distributed algorithm partitions the network into cells according to the value  K , thus obviating the need for global information. The centralized algorithm strategically combines our aggregation tree construction algorithm with the non-linear por assignment strategy in [9].  prove the correctness and efficiency of our algorithms, and conduct empirical studies under realistic settings to validate our analytical results."}]