https://www.cs.montana.edu/courses/csci566/Ref/CR-Survey.pdf

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

Unmanned aerial vehicles (UAVs) have enormous potential in the public and civil domains. These are particularly useful in applications, where human lives would otherwise be endangered. Multi-UAV systems can collaboratively complete missions more efficiently and economically as compared to single UAV systems. However, there are many issues to be resolved before effective use of UAVs can be made to provide stable and reliable context-specific networks. Much of the work carried out in the areas of mobile ad hoc networks (MANETs), and vehicular ad hoc networks (VANETs) does not address the unique characteristics of the UAV networks. UAV networks may vary from slow dynamic to dynamic and have intermittent links and fluid topology. While it is believed that ad hoc mesh network would be most suitable for UAV networks yet the architecture of multi-UAV networks has been an understudied area. Software defined networking (SDN) could facilitate flexible deployment and management of new services and help reduce cost, increase security and availability in networks. Routing demands of UAV networks go beyond the needs of MANETS and VANETS. Protocols are required that would adapt to high mobility, dynamic topology, intermittent links, power constraints, and changing link quality. UAVs may fail and the network may get partitioned making delay and disruption tolerance an important design consideration. Limited life of the node and dynamicity of the network lead to the requirement of seamless handovers, where researchers are looking at the work done in the areas of MANETs and VANETs, but the jury is still out. As energy supply on UAVs is limited, protocols in various layers should contribute toward greening of the network. This paper surveys the work done toward all of these outstanding issues, relating to this new class of networks, so as to spur further research in these areas.

Survey of Important Issues in UAV Communication Networks

Embodiments disclosed herein relate to ad hoc networking. An embodiment includes computing a routing score for a source node based on at least hardware capabilities of the source node, applications available to the source node, and networking capabilities of the source node. The embodiment further includes receiving at the source node, one or more routing scores from intermediate nodes directly or indirectly connected to the source node, and sending the data to the destination node based on at least the routing scores received from each intermediate node and one or more route paths associated with each intermediate node.

Ad hoc networking

Multi-hop infrastructure wireless mesh networks offer increased reliability, coverage and reduced equipment costs over their single-hop counterpart, wireless LANs. Equipping wireless routers with multiple radios further improves the capacity by transmitting over multiple radios simultaneously using orthogonal channels. Efficient channel assignment and routing is essential for throughput optimization of mesh clients. Efficient channel assignment schemes can greatly relieve the interference effect of close-by transmissions; effective routing schemes can alleviate potential congestion on any gateways to the Internet, thereby improving per-client throughput. Unlike previous heuristic approaches, we mathematically formulate the joint channel assignment and routing problem, taking into account the interference constraints, the number of channels in the network and the number of radios available at each mesh router. We then use this formulation to develop a solution for our problem that optimizes the overall network throughput subject to fairness constraints on allocation of scarce wireless capacity among mobile clients. We show that the performance of our algorithms is within a constant factor of that of any optimal algorithm for the joint channel assignment and routing problem. Our evaluation demonstrates that our algorithm can effectively exploit the increased number of channels and radios, and it performs much better than the theoretical worst case bounds.

Joint channel assignment and routing for throughput optimization in multi-radio wireless mesh networks

Transport networks are ubiquitous in both social and biological systems. Robust network performance involves a complex trade-off involving cost, transport efficiency, and fault tolerance. Biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems. Furthermore, they develop without centralized control and may represent a readily scalable solution for growing networks in general. We show that the slime mold Physarum polycephalum forms networks with comparable efficiency, fault tolerance, and cost to those of real-world infrastructure networks—in this case, the Tokyo rail system. The core mechanisms needed for adaptive network formation can be captured in a biologically inspired mathematical model that may be useful to guide network construction in other domains.

/pdf/rules-for-biologically-inspired-adaptive-network-design-5fajyacscy.pdf

Rules for biologically inspired adaptive network design

http://www.csun.edu/~andrzej/COMP529-S05/papers/Mesh%20Networks%20Survey.pdf

Wireless mesh networks: a survey

Systems and methods for providing a boundary scan test of a wired or wireless network having a plurality of network nodes are presented. The system includes a test station communicatively coupled with the network. The test station creates a MAC layer scan test route sequence that includes each link in the network and is independent of the routing mechanism and protocol used for the network. The test station also creates a test agent that is configured to traverse each link in the scan test route sequence. The test agent is then deployed on the network and information about a link is reported back to the test station after the test agent examines the link. The scan test route sequence can be created by sending out a series of broadcast messages from one or more nodes in the network, sequentially applying a network tour to cover the entire network, or performing a depth first search on the entire network.

System and method for identifying nodes in a wireless network

A wireless communication system is provided that has at least three nodes arranged in a multi-hop ultra wide band (UWB) communication network such that communications from a first node destined for a third node pass through a second node. Each of the devices in the system includes a radio and a media access control (“MAC”) module that is configured to establish multi-hop UWB wireless communications between the three or more wireless communication devices that enables high bandwidth applications such as Voice Over Internet Protocol (“VoIP”); multiplayer gaming; Wireless High Definition Television; and Internet Protocol Television (“IPTV”) among others. The MAC module is configured to avoid bandwidth reservation conflicts so that network performance does not degrade as the number of hops or the number of nodes in the wireless communication system increases. The MAC also facilitates utilization of multiple channels to maximize the available spectrum and is further configured to dynamically switch between channels to maximize throughput and meet or exceed quality of service (“QoS”) requirements such that QoS is guaranteed and network resources are efficiently utilized.

Multi-Hop Ultra Wide Band Wireless Network Communication

Systems and methods for determining a location of a device with a wireless network. Characteristics of signals received from the device at a plurality of nodes are measured. Based upon the measurements, estimates of the range from the device to the nodes are made. Then, based upon the estimated ranges, and knowing the location of the nodes, a location of the device is determined.

Systems and methods for determining location of devices within a wireless network

A scalable medium access control (“MAC”) module is provided that avoids conflict resource reservation so that network performance does not degrade as the number of hops or nodes in a wireless network increases. The MAC also provides different access schemes for traffic with different quality of service (“QoS”) requirements such that QoS is guaranteed and network resources are efficiently utilized. Furthermore, the resource allocation scheme determines the routing path as resources is allocated for data traffice, thereby achieving more robust layer-2 routing at the MAC layer. Finally, the scalable MAC is compliant with both WiMedia MAC and IEEE 802.15.3 MAC.

Weilin Wang

Papers

Wireless mesh networks: a survey

System and method for identifying nodes in a wireless network

Multi-Hop Ultra Wide Band Wireless Network Communication

Systems and methods for determining location of devices within a wireless network

Scalable media access control for multi-hop high bandwidth communications