Energy using optimization in wireless sensor networks using the hybrid algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: Energy limitation is one the most important issues in wireless sensor networks design. Data integration and their multi-step and hierarchical transition is an effective method for reducing energy consumption as well as improving energy saving in wireless sensor networks. Network clustering algorithms are significantly more common than the other clustering algorithms due to their reliability and high flexibility. However, in this method, it is needed to appropriately determine the clusters’ size and number. In this survey, a data transfer pattern with mixture of multi-step communications and hierarchical transitions has been presented which contains a method for choosing the size and number of clusters according to the synchronous optimization of the in-cluster energy and the energy sent to the main base. The number and size of the clusters inthis research would be optimized using genetic optimization algorithm. In the algorithm proposed, first, the environment covered by the sensor nodes which is circular has been divided into various sections and the cluster heads of each section (named local cluster heads) are selected during different send times based on themaximum energy remained among nodes in each section. Hierarchical cluster heads are selected from local cluster heads in a hierarchical cluster according to a specific mechanism based on some parameters including the local cluster head distance from the sink, sum of energy, and the number nodes in each section.
Authors and Affiliations
SeyedMarouf Hosseini Abbass Ali Rezaei
Keywords
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