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A Fuzzy Inference system for Increasing of survivability and Efficiency in Wireless sensor Networks

通讯和计算机（中英文版） 2013年第5期10卷 702-712页

作者： Rodrigo Augusto R. s. Baluz Raimir Holanda Filho Jose Victor V. sobral Aldir s. sousa harilton s.araujo Marcus V. s. Lemos Ricardo A. L. Rabelo Master Program in Applied Informaties (PPGIA) University of Fortaleza (UNIFOR) Fortaleza Ceara 60181-225 Brazil Computer science Laboratory Unified Center ofTeresina (CEUT) Teresina Piaui Brazil state University of Piaui (UEsPI) Teresina Piaui 64000-000 Brazil

The nodes of a WsNs (wireless sensors network) are composed of small devices capable of sensing and transmitting data related to some phenomenon in the environment. These devices, named sensor nodes, have severe constraints, such as lower processing and storage capacity, and mainly they have severe constraints related to battery energy. Therefore, the developing of strategies to reduce the power consumption is one of the main challenges in WsNs, and thereby helping to increase the survivability and efficiency of these networks. This paper proposes a new approach to help multi-path routing protocols to choose the best route based on Fuzzy Inference systems and ACO (ant colony optimization). The Fuzzy system is used to estimate the degree of the route quality, based on the number of hops and the lowest energy level among the nodes that form the route. The ACO algorithm is used to adjust the rule base of the fuzzy system in order to improve the classification strategy of the route, and hence increasing the energy efficiency and the survivability of the network. The simulations showed that the proposal is effective from the point of view of the energy, the number of received messages, and the cost of received messages when compared against other approaches.

关键词：无线传感器网络模糊推理系统传感器节点路由协议能量效率存储能力蚁群算法模糊系统

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