Web-Based Network Device Monitoring Tool Using Simple Network Management Protocol (Snmp)

The Internet enables different computer networks to join together into one network in which many different models of network devices can co-exist with each other. Standard management protocol is necessary for the purpose of managing these networks. SNMP (Simple Network Management Protocol), one of the standard protocols, is designed for this open-class management function and is successfully implemented. This thesis suggests a monitoring of network device statistical data from a remote place. This approach reduced the complexity of existing techniques, which are basically operable in specific operating system and having no standard Graphical User Interface (GUI). To address this problem, a system based on WWW standard tool is developed which is SNMP compatible as well as operable with any network device. The network device monitoring tool is a client program, which is managed and could be contacted with the server program. A web server and a browser are to provide static, dynamic, and interactive management information. A web server, which plays a managing role, offers a variety of types of information. An SNMP agent, which cooperates with a web server, uses SNMP protocol and provides access to management information of network devices/agents. The implementation of the user interface using the web-based technique of Java Applet makes it possible for a manager to easily search and manage agent Management Information Base (Mill) through a browser. Java SNMP class files and SNMP Applet Server (SAS) classes are used inside the Web-server to communicate with network devices. The network device monitoring tool is configured to collect network statistical data. It can monitor the real time graph on the basis of MIB variable from remote place and shows more efficient than the existing tool

Remote Network Monitoring System (RNMS)

Nowadays, computer networks become very complex. Thousands of nodes distributed in various places. Within this complexity, it has become impossible task to monitor large networks by human effort only. Thus, there are urgent needs to find convenient solutions to help networks managers in managing and monitoring their networks. This study presents a monitoring system, named Remote Network Monitoring System (RNMS). The proposed system empowered the networks mangers to remotely monitor their network’s computers. Therefore, a web-based monitoring system has been designed using UML models, and then the system has been developed using ASP.Net with VB.Net scripts. The proposed system is based on SNMP (Simple Network Management Protocol). The SNMP provides efficacious means to access the remote agent’s MIB’s (Management Information Base) objects. Furthermore, this study has evaluated and tested the RNMS using the verification test (unit, integration, and system testing), and the validation test (user acceptance test) based on TAM (Technology Acceptance Model)

Computer networks analysis with Cacti

In this thesis, we have identified techniques and approaches that are most commonly encountered in network management systems. We have described availability and performance monitoring techniques. Selection of monitoring technique depends on the complexity of monitored parameters and preliminary established architecture. Network monitoring suggests architecture in which centralized manager collects and analyses data from managed devices. Managed devices expose their network statistics through objects defined within the Management Information Base. Simple Network Management Protocol allowing the manager to communicate with the managed hosts. Afterwards we analyse network monitoring and graphing tool Cacti. Cacti allows a manager to poll managed devices and graph the gathered data. In the last part we cover the details of establishing network management system in which we monitor local and remote network resources. Cacti has emerged as adaptable tool for monitoring computer networks

Energy Optimization in Mobile Wireless Sensor Networks with Mobile Targets Achieving Efficient Coverage for Critical Applications

The Mobile Wireless Sensor Networks (MWSN), classified within MANETS, have multiple applications for critical situations management such as target monitoring and tracking in conflict zones, supporting urban security, critical infrastructure monitoring, remote locations exploration (i.e. aerospace exploration), and patients monitoring and care in health facilities, among others. All of these applications have requirements of certain intelligence in the network that can be used for network’s self-configuration in order to find targets, guarantee connectivity and information availability until its reception. This paper proposes a MWSN architecture with an initial random distribution in a specific work area, and a centralized management to perform autonomous decision making about the movement and connectivity of the sensors. The work area presents mobile targets with interesting events which must be covered by the mobile sensors, and thus, send the collected information through the network to any base station available. Our work shows a dynamic mathematical model used to maximize targets’ coverage and send its sensed information to the base stations available, while minimizing system’s power consumption and maximizing operation time. The heuristic algorithm we used to construct and find a feasible solution is also shown

The impact of agricultural activities on water quality: a case for collaborative catchment-scale management using integrated wireless sensor networks

The challenge of improving water quality is a growing global concern, typified by the European Commission Water Framework Directive and the United States Clean Water Act. The main drivers of poor water quality are economics, poor water management, agricultural practices and urban development. This paper reviews the extensive role of non-point sources, in particular the outdated agricultural practices, with respect to nutrient and contaminant contributions. Water quality monitoring (WQM) is currently undertaken through a number of data acquisition methods from grab sampling to satellite based remote sensing of water bodies. Based on the surveyed sampling methods and their numerous limitations, it is proposed that wireless sensor networks (WSNs), despite their own limitations, are still very attractive and effective for real-time spatio-temporal data collection for WQM applications. WSNs have been employed for WQM of surface and ground water and catchments, and have been fundamental in advancing the knowledge of contaminants trends through their high resolution observations. However, these applications have yet to explore the implementation and impact of this technology for management and control decisions, to minimize and prevent individual stakeholder’s contributions, in an autonomous and dynamic manner. Here, the potential of WSN-controlled agricultural activities and different environmental compartments for integrated water quality management is presented and limitations of WSN in agriculture and WQM are identified. Finally, a case for collaborative networks at catchment scale is proposed for enabling cooperation among individually networked activities/stakeholders (farming activities, water bodies) for integrated water quality monitoring, control and management

Potential applications of geospatial information systems for planning and managing aged care services in Australia

[Abstract]: This paper discusses the potential applications of Geospatial Information Technology (GITs) to assist in planning and managing aged care programs in Australia. Aged care is complex due to the numbers of participants at all levels of including planning of services, investing in capacity, funding, providing services, auditing, monitoring quality, and in accessing and using facilities and services. There is a vast array of data spread across the entities that are joined to aged care. The decision-making process for investment in capacity and service provision might be aided by technology including GIT. This is also expected to assist in managing and analysing the vast amount of demographic, geographic, socio-economic and behavioral data that might indicate current and future demand for services the aged and frail-aged population. Mapping spatio-temporal changes in near real time can assist in the successful planning and management of aged care programs. Accurate information on the location of aged care services centres and mapping the special needs of clients and their service needs may assist in monitoring access to services and assist in identifying areas where there are logistic challenges for accessing services to meet needs. GIT can also identifying migrations of aged people and of the cohorts of the population who are likely to be the next wave of clients for aged care services. GITs include remote sensing, geographic information systems (GIS) and global positioning systems (GPS) technologies, which can be used to develop a user friendly digital system for monitoring, evaluating and planning aged care and community care in Australia. Whilst remote sensing data can provide current spatiotemporal inventory of features such as locations of carer services, infrastructure, on a consistent and continuous coordinate system, a GIS can assist in storing, cross analysing, modeling and mapping of spatial data pertaining to the needs of the older people. GITs can assist in the development of a single one-stop digital database which will prove a better model for managing aged care in Australia. GIT will also be a component of technologies such as activity monitors to provide tracking functionality. This will assist in tracking dementia sufferers who may be prone to wandering and be exposed to risk