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Abstract-In this paper we will present a distributed balanced routing algorithm with optimized cluster distribution. According to the previous clustering algorithms, selection conditions for the cluster head (CH) were either accidentally evaluated or evaluated based on some parameters regardless of the state of a node or its neighbors. In the presented algorithm a type of mechanism was used in which it performs cluster formation in special conditions with regard of the neighborhood principle and local information of a node and its neighbors. In RCSDN a new technique is used with which we were able to apply a selective condition by using a local and distributed threshold detector so that a more optimized method for selecting CHs is created. Finally, with the results of multiple simulations we were able to show that RCSDN, in comparison with the previous Clustering Algorithm has increased the lifetime of sensor network, and reduced the amount of node energy consumption by balancing the use of energy between nodes, therefore resulting to a more suitable distribution of clusters in the sensor network. Hence, this algorithm is more effective compared to the previous algorithms.Index Terms-Clustering, wireless sensor network, energy balancing, energy efficiency, routing, distributed system.

Using clustering methods in sensor networks improves their efficiency and management. Moreover, it brings with it the main parameter in sensor networks i.e. decrease in energy consumption. To transfer data to a sink in a network having many nodes, multi-hop methods have to be used. Also in many of the cases, there is a mobile sink (or user) in a network environment. In this paper, using fuzzy logic we present a routing method which divides the network into groups which are like clusters and has the ability of supporting the mobile sink. This routing method has been compared with other routing and clustering methods and the results show the efficiency of the mentioned method.

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