AN APPROACH FOR FAULT DETECTION AND FAULT MANAGEMENT IN THE WIRELESS SENSOR NETWORK TO EXTEND NETWORK LIFETIME

A mobile wireless ad hoc sensor network (MANET) consists of a group of homogeneous or heterogeneous mobile communicating hosts that form an arbitrary network interconnected via by means of several wireless communication media without any fixed infrastructure. In such network the delivery of the data packet from source to destination may fail for various reasons and major due to failure-prone environment of networks. This may happens due to the topology changes, node failure due to battery exhaust, failure of the communication module in the wireless node and results in the link failure. This paper addressed the major problem of link failure in the WSN and with the aim of providing robust solution so as to satisfy the stern end-to-end requirements of QoS-based communication networks. In this paper we modifies existing fully distributed cluster-based routing algorithm by addressing local recovery for the link failure. Performance of this new fault-tolerant fully distributed cluster-based routing algorithm is evaluated by simulating it in NS2 environment and we show that it performs better than the existing algorithm and provide better solution for fault detection and fault management along the QoS paths

AN APPROACH FOR FAULT DETECTION AND FAULT MANAGEMENT IN THE WIRELESS SENSOR NETWORK TO EXTEND NETWORK LIFETIME

A mobile wireless ad hoc sensor network (MANET) consists of a group of homogeneous or heterogeneous mobile communicating hosts that form an arbitrary network interconnected via by means of several wireless communication media without any fixed infrastructure. In such network the delivery of the data packet from source to destination may fail for various reasons and major due to failure-prone environment of networks. This may happens due to the topology changes, node failure due to battery exhaust, failure of the communication module in the wireless node and results in the link failure. This paper addressed the major problem of link failure in the WSN and with the aim of providing robust solution so as to satisfy the stern end-to-end requirements of QoS-based communication networks. In this paper we modifies existing fully distributed cluster-based routing algorithm by addressing local recovery for the link failure. Performance of this new fault-tolerant fully distributed cluster-based routing algorithm is evaluated by simulating it in NS2 environment and we show that it performs better than the existing algorithm and provide better solution for fault detection and fault management along the QoS paths

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Wireless sensor networks monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. To adapt to such conditions, sensor networks often adopt machine learning techniques to eliminate the need for unnecessary redesign. Machine learning also inspires many practical solutions that maximize resource utilization and prolong the lifespan of the network. In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs). The advantages and disadvantages of each proposed algorithm are evaluated against the corresponding problem. We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.Comment: Accepted for publication in IEEE Communications Surveys and Tutorial