For clarification, containment and combat of large danger areas, fast and flexible survey of potentially contaminated areas is an emerging challenge. In this paper we present a project that focuses on incidents, that are caused by uncontrolled emissions of liquid or gaseous contaminants (e.g. explosive or toxic gases or liquids, biological, chemical or nuclear weapons). Instead of sending specially equipped forces with expensive transport and measurement devices into the contaminated area, our proposed system makes use of an autonomous, wireless connected swarm of Micro Unmanned Aerial Vehicles (MUAV), often simply known as drones, that are featured with lightweight mobile sensor systems. In this paper we will be particularly focusing on the complex communication system, which on the one hand has to organize the on-board-communication between the control systems of the MUAV and the sensors and on the other hand has to establish wireless connections to the mission control center on the ground as well as to neighboring MUAVs in the air via a mesh network.

AirShield: A system-of-systems MUAV remote sensing architecture for disaster response

Recently, various efforts from both industry and academia are performed on specifying distributed mobility management. One of the early and promising proposals is dynamic mobility anchoring (DMA). This paper carries out a performance analysis on DMA in terms of mobility costs, comparing it with proxy mobile IPv6 (PMIPv6). We consider signaling, processing, data packet delivery, and tunneling costs. The impacts of several parameters such as sessions arrival mean rate, cell's radius, and network scale on the mobility costs are investigated. The results show that DMA outperforms PMIPv6 significantly.

Comparative performance analysis on dynamic mobility anchoring and proxy mobile IPv6

Future Internet will be highly heterogeneous supporting a multitude of access technologies with overlapping coverages. The automation and optimization of network operations like resource, mobility or QoS management in such a multi-access and multi-operator environment becomes a very challenging but vital task in order to ensure smooth network operation and user satisfaction. Cognitive network management is seen as the solution for this. However, any self* mechanism designed for small- scale networks and requiring an accurate view of the whole network status for decision-making will not be able to meet the future needs. In this paper, we propose a novel multi-access network management architecture targeted for large heterogeneous multi- access and multi-operator networks. The architecture introduces hierarchy to network management to ensure scalability. We also present results obtained from a case example of the proposed decision-making solution implemented to our cognitive network testbed.

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Hierarchical Management Architecture for Multi-Access Networks

This paper shows a full end-to-end WiFi-WiMAX network deployment in a testbed environment. It also demonstrates network integration of various wireless technologies that can be used by ISPs to provide services to large and small enterprise customers. The research indicates that WiFi-WiMAX deployment does not deteriorate throughput as compared to a standalone WiMAX system. The complete network architecture is comprised of an ISP core and several sites connecting to the core using a combination of WiMAX and WiFi and based deployments. The throughput of approximately 967.5 kbps was observed throughout the path and shows a steady performance across various parts of the network regardless of the technology involved.

Interoperability between WiMAX and WiFi in a testbed environment

In this paper, we have discussed the capacity and efficiency, complexity, and coverage features of both Worldwide Interoperability for Microwave Access (WiMAX) and Long Term Evolution (LTE) wireless communications technologies. As these features influence the performance of the two technologies, it is important to know each technology advantages and disadvantages from these characteristics point of view. The paper delves into the intricacies of the two technologies to find out which is the next generation leading wireless technology, through finding the key parameters which make the one of driven technologies appear powerfully in the lead.

WiMAX vs. LTE: An analytic comparison

http://ieeexplore.ieee.org/iel5/4445680/4449070/04449073.pdf

Christian Krapichler

Papers

LTE, HSPA and Mobile WiMAX a comparison of technical performance