The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Design of effective WSN topology is major issue in prolonging network lifetime in wireless sensor networks. Designed topology is expected to be efficient and balanced in terms of energy consumption. This paper proposes Genetic Algorithm (GA) based energy efficient disjoint path routing scheme which will help in prolonging lifetime of wireless sensor networks. Simulation results shows that proposed...
For the energy consumption problem of wireless sensor networks, a mobile agent routing based on improved genetic algorithm (MARIGA) is proposed in this paper. This algorithm introduces a new crossover strategy and mutation operator to effectively control the premature stagnation in the convergence process. The simulation results indicate that the MARIGA algorithm can effectively improve the routing...
The cluster-based routing algorithm based on the method of genetic clustering in Wireless Sensor Network (WSN) is proposed in this paper. In the network of non-uniform distribution nodes, the algorithm can cluster the network and select the cluster heads after setting the nodes. When the geographic location change or failure of cluster heads, the algorithm can be used to re-cluster and re-selecting...
Mobile agent which has the features of migration and autonomy can be used in Wireless Sensor Network (WSN). An improved Genetic Algorithm (GA) is proposed to use in mobile agent-based routing algorithm to calculate the best routing for mobile agent's migration in WSN. By improving the arithmetic operators, the improved GA can find the best routing, and optimize the performance of mobile agent-based...
In the routing design of the wireless sensor networks, how to balance the energy consumption of the entire network to extend the life span throughout the network is a key issue. Based on the genetic ant colony algorithm, this paper proposed a design of the energy-saving, clustered routing protocol. Considering of the energy situations of the nodes, their relative positions and the energy load balancing...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.