Routing in Mobile Wireless sensor network to improve performance using fuzzy logic

Wireless sensor networks, which are used for monitoring and controlling a particular environment, consist of a large number of sensor nodes that are connected together to perform specific tasks. These nodes have limited energy, processing power and memory. In most applications of wireless sensor networks, there is no possibility of charging the battery of nodes. Since the network lifetime depends on the power of nodes, reducing energy consumption in each node is very important and it is one of the main challenges in these types of networks. So algorithms designed for these networks should be as efficient as possible in terms of energy consumption. Clustering and determining the routing path to the base station is one of the main approaches to design energy-efficient algorithms. In some wireless sensor networks, sensor nodes have mobility and this fact is very effective on routing performance. In this thesis, a new approach is presented for multi-hop routing in mobile wireless sensor network. In the proposed algorithm, the fuzzy system has been used to determine the next hop in routing process. This approach is implemented by MATLAB. In the evaluation section the results of the presented strategy were compared and evaluated with a few of former methods, which have also been simulated in the cited software. Results of this comparison indicate that the new strategy, whether the number of nodes is low or when the environment has high node density, is more efficient and capable of increasing network lifetime.