제안 방법

• By expressing this way, it is used as the basic information for evaluating the fitness by applying the genetic algorithm such as the crossover or mutation operation. Based on the chromosomes, the proposed scheme performs repeatedly the genetic algorithm, and decentralizes network traffic by disseminating of the genetic information to the child nodes.
• The TARP (Traffic-Aware Routing Protocol) detects the traffic congestion in each sensor node and uses the genetic algorithm to select data forwarding sensor nodes reducing data transfer rate of specific sensor node [4]. Due to the limited resources in wireless sensor nodes, this scheme uses a lightweight genetic algorithm that constraints the number of iteration loops to find a superior sensor node. However, the TARP considers the network traffic fairness by only using average of the transmission rate and the standard deviation.
• To do this, we analyzed the problems of the existing congestion control schemes. The proposed scheme considers the remaining amount of energy and the transmission rate on a single node in WSNs. Accordingly, our scheme maintains the high network lifetime over the existing scheme.
• To solve these problems, we proposes an novel energy awareness congestion control scheme based on genetic algorithms in wireless sensor networks considering additionally the remaining amount of energy and the transmission rate on a single node. The proposed scheme makes a detour a certain rates of the traffic to other nodes by performing genetic algorithms that based on information of the child nodes congested network traffic and the neighbor nodes of the child nodes. Because our scheme considers additionally the remaining amount of energy and the transmission rate, the fairness of data transmission of the entire network and network lifetime can be improved.
• The proposed scheme to perform the genetic algorithm periodically to gather the information of neighboring nodes, and the following types of chromosomes is produced.
• In this paper, we proposed an energy awareness congestion control scheme based on genetic algorithms. To do this, we analyzed the problems of the existing congestion control schemes. The proposed scheme considers the remaining amount of energy and the transmission rate on a single node in WSNs.
• To select the data forwarding sensor node, the proposed scheme uses the data traffic rates of neighboring parent sensor nodes(upper level) within 2-hops of a child sensor node. In the Fig.