Abstract There are many management applications such as disaster management, air pollution management, weather management, traffic control management etc. which requires continuous attentions and prompt actions. Inclusion of theory of management support and timely decision to any un-managed system will improve the performance, usability and sustainability. Wireless Sensor Network is a self build infrastructure which deployed on the areas where there is no continuous power... There are many management applications such as disaster management, air pollution management, weather management, traffic control management etc. which requires continuous attentions and prompt actions. Inclusion of theory of management support and timely decision to any un-managed system will improve the performance, usability and sustainability. Wireless Sensor Network is a self build infrastructure which deployed on the areas where there is no continuous power supply to the sensor nodes. There are many researches and approach has been proposed and protocols designed to address the network performance. We analyzed and identified the issue areas where management support and timely organized decisions improve the wireless sensor network performance. We categorized the system based on levels of management and presented our proposed protocols in all levels with process flow and performance comparisons through our simulation models. Read More Read Less

Abstract In the present computer world Wireless Sensor Networks are playing a major role in sensing environment, health care and embedded systems category. In WSNs sensors are the nodes which are deployed randomly and in a wide spread manner. Data can be transmitted to the controller by the sensors at periodic intervals. As the network is dynamic the number and behavior of nodes vary... In the present computer world Wireless Sensor Networks are playing a major role in sensing environment, health care and embedded systems category. In WSNs sensors are the nodes which are deployed randomly and in a wide spread manner. Data can be transmitted to the controller by the sensors at periodic intervals. As the network is dynamic the number and behavior of nodes vary randomly and identifies the nodes which are active are selected and the nodes which are idle are neglected. In WSN, the topology of the network is dynamic, it is necessary to identify the neighbors in the proximity and coordinate data acquisition at the controller. In any network reliability is an important issue which deals with stability under mobility, low delay, more life time, optimal route and other optimizations. Read More Read Less

Abstract In order to improve the effectiveness of network intrusion detection, a network intrusion detection model based on particle swarm optimization algorithm and neural network is proposed. Firstly, the feature of network intrusion detection is collected, and important features are selected by using particle swarm optimization algorithm to effectively remove the invalid feature; then BP neural network is used to build intrusion detection classifier,... In order to improve the effectiveness of network intrusion detection, a network intrusion detection model based on particle swarm optimization algorithm and neural network is proposed. Firstly, the feature of network intrusion detection is collected, and important features are selected by using particle swarm optimization algorithm to effectively remove the invalid feature; then BP neural network is used to build intrusion detection classifier, finally KDD 99 data is used to analyze performance of the model. The results show that the proposed model can improve accuracy of network intrusion detection, and the detection speed can meet the practical requirements of network security. Read More Read Less