vt/maniac2008110153200811012008-12-18vt/maniacDataset of routing and topology traces collected during MANIAC 2007.

The dataset comprises of routing and topology traces collected during the Mobile Ad hoc Networks Interoperability And Cooperation (MANIAC) Challenge, held on November 25-26th 2007 in conjunction with IEEE Globecom 2007.

the initial version2008-11-012007-11-252007-11-26README196197198199200201202http://www.maniacchallenge.org/dataset.htmlhttp://www.crawdad.org/wiki/pmwiki.php?n=Main.Dataset.vt-maniac802.11MANETNetwork Performance AnalysisRouting ProtocolEnergy-efficient Wireless Network802.11 ad-hocThe dataset comprises of routing and topology traces collected during the Mobile Ad hoc Networks Interoperability And Cooperation (MANIAC) Challenge, held on November 25-26th 2007 in conjunction with IEEE Globecom 2007. The MANIAC Challenge is an NSF-funded competition to better understand cooperation and interoperability in ad hoc networks. Competing teams of students/researchers come together to form an ad hoc network. It has been held once in 2007 and the next challenge is in 2009In the MANIAC Challenge 2007, the organizers generated traffic destined to each team. Teams were judged based on how much of the traffic destined to them made it through the network, how little energy they consumed in forwarding traffic and a subjective evaluation of the quality of their solution's design.In the MANIAC Challenge competition, an adhoc network comprising of nodes from all participating teams was formed and data was logged during three runs of the competition. The data included traces for the routing tables generated at each node for each time instant during the tests, and topology traces generated from the route logs to record topology changes at each time instant.81200811012008-12-18the initial version.vt/maniac/2007Traceset of routing and topology traces collected during MANIAC 2007.

The data comprises of routing and topology traces collected during the Mobile Ad hoc Networks Interoperability And Cooperation (MANIAC) Challenge, held on November 25-26th 2007 in conjunction with IEEE Globecom 2007.

2008-11-012007-11-252007-11-26Network Performance AnalysisRouting ProtocolEnergy-efficient Wireless NetworkThe MANIAC Challenge is an NSF-funded competition to better understand cooperation and interoperability in ad hoc networks. Competing teams of students/researchers come together to form an ad hoc network. The organizers generated traffic destined to each team. Teams were judged based on how much of the traffic destined to them made it through the network, how little energy they consumed in forwarding traffic and a subjective evaluation of the quality of their solution's design. To get their traffic across the network, each team relied on other teams' willingness to forward traffic for them. We developed a software and an API to allow the teams to program their nodes and override forwarding decisions made by the routing protocol. We also developed network monitoring and management software to keep track in real-time of topology changes and traffic loads experienced by each node during the competition. In the MANIAC challenge, traffic was sent to participant nodes from reference nodes in the network. Teams were given the tools to monitor and manipulate traffic flowing around and through them, respectively. As teams participated and forwarded, they consumed resources (lose points), but as traffic affiliated with them reached its destination, they received points. The overall goal of the competition was to have the most points at the end of the competition. More details about the MANIAC Challenge, including conference papers analyzing the data collected, can be found at www.maniacchallenge.org. The data included traces for the routing tables generated at each node for each time instant during the tests, and topology traces generated from the route logs to record topology changes at each time instant. Each of the three runs of the competition lasted around 20 minutes. A total of 16 network nodes participated in the tests with IP addresses of the form 10.10.0.x, where x (the fourth octet) is in the set {21, 22, 24, 25, 40-51}.vt/maniac269200811012008-12-18the initial versionvt/maniac/2007/routingThe routing tables at each node that participated in each test during MANIAC 2007.

The routing tables at each node that participated in each test during MANIAC 2007.

false2008-11-012007-11-252007-11-26The routing logs contain snapshots of the routing tables at each node that participated in each test at each time instant. The routing logs for each test are collected together.In each test, a separate file is assigned for each node (the file name includes the node number which is the 4th octet of the node's IP address, expressed in decimal). Each entry in the route logs starts with the time instant at which the routing table was generated, followed by the routing table itself, as in this example: 10:48:29 Kernel IP routing table Destination Gateway Genmask Flags Metric Ref Use Iface 10.10.0.48 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.49 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.50 0.0.0.0 255.255.255.255 UH 1 0 0 eth0 10.10.0.51 10.10.0.50 255.255.255.255 UGH 2 0 0 eth0 10.10.0.22 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.40 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.25 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.24 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.41 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.42 0.0.0.0 255.255.255.255 UH 1 0 0 eth0 10.10.0.43 0.0.0.0 255.255.255.255 UH 1 0 0 eth0 10.10.0.46 0.0.0.0 255.255.255.255 UH 1 0 0 eth0 10.10.0.47 10.10.0.43 255.255.255.255 UGH 2 0 0 eth0 10.10.0.0 0.0.0.0 255.255.255.0 U 0 0 0 eth0 127.0.0.0 0.0.0.0 255.0.0.0 U 0 0 0 loBecause the logging process was started before the competition actually started, you will find the routing logs spanning a time period larger than the actual 20 minutes of the competition runs. The topology files that were generated from these logs were adjusted to reflect the approximate start and end times of the tests./download/vt/maniac/fr.10396.0.route_logs1.tar.gz/download/vt/maniac/fr.10423.0.route_logs2.tar.gz/download/vt/maniac/fr.10495.0.route_logs3.tar.gzvt/maniac/2007270200811012008-12-18the initial versionvt/maniac/2007/topologyTrace of network topology and connectivity changed over the duration of the tests during MANIAC 2007.

Trace of network topology and connectivity changed over the duration of the tests during MANIAC 2007.

false2008-11-012007-11-252007-11-26The topology files show how the network topology and connectivity changed over the duration of the tests.We generated a separate topology file for each test, each providing a snapshot of the network topology at each time instant. A sample entry in a topology file is as follows: 09:51:21 21 22 24 25 40 41 42 43 44 45 46 47 48 49 50 51 21,1 0,0 48,4 49,3 0,0 49,3 49,3 48,2 48,3 48,2 49,2 0,1 48,2 0,1 0,1 48,2 48,3 22,1 45,3 0,0 45,2 0,0 51,2 45,2 45,2 0,1 0,1 0,1 45,2 45,2 45,2 45,3 45,2 0,1 24,1 0,0 43,2 0,0 0,0 45,2 0,1 43,2 0,1 47,2 0,1 43,2 0,1 45,2 43,2 45,2 45,3 25,1 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 40,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 41,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 42,1 0,0 0,0 0,1 0,0 0,1 0,1 0,0 0,1 0,1 0,1 0,1 0,1 0,1 50,2 0,1 0,1 43,1 50,2 0,1 0,1 0,0 0,1 0,1 0,1 0,0 0,1 0,1 45,2 0,1 0,1 45,2 0,1 0,1 44,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 45,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 0,0 46,1 0,1 45,2 45,2 0,0 45,2 45,2 0,1 48,3 49,2 0,1 0,0 45,2 0,1 0,1 0,1 50,2 47,1 0,0 0,0 0,1 0,0 0,1 0,1 0,1 0,1 0,1 0,1 42,2 0,0 0,1 50,2 0,1 0,1 48,1 0,1 45,2 45,2 0,0 51,2 45,2 0,1 0,1 0,1 0,1 0,1 45,2 0,0 0,1 0,1 0,1 49,1 0,1 45,2 45,2 0,0 45,2 45,2 48,2 0,0 0,1 0,1 0,1 45,2 0,1 0,0 0,1 50,2 50,1 0,1 45,2 45,2 0,0 0,1 45,2 0,1 0,1 0,1 0,1 0,1 0,1 0,1 0,1 0,0 0,1 51,1 48,2 0,1 45,2 0,0 0,1 45,2 0,1 0,1 0,1 0,1 45,2 0,1 0,1 45,2 48,2 0,0 An entry in a topology file starts with the time instant at which topology the snapshot was taken. A table showing the connections between each pair of nodes in the network follows, where the row represents the source node and the column represents the destination node. Column and row headers contain the node identifiers for destination and source, respectively (as before, nodes are identified by the fourth octet of their IP address, expressed in decimal). Row headers also contain a flag next to the node identifier. This flag, which can have a value of 0 or 1, indicates whether this node logged a routing table at that particular time instant. The reason we introduced this flag is to distinguish between the case of a node that logged an empty routing table (flag value of 1) and a node that did not log a routing table at all (flag value of 0) at a particular time instant, where in both cases all the entries in the row corresponding to that node will have the value of 0,0. A general entry in the table that describes the route from node x (the row) to node y (the column) is in the format (gw, hops). The first field, gw, represents the gateway that node x uses to reach node y, while the hops entry represents the number of hops in the route. An entry that has a value 0,0 indicates that node x had no route to node y at that particular time instant. An entry that has a value 0,1 indicates that node x can reach node y directly (with no gateway and in 1 hop) at that particular time instant. An entry that has a value of a,b means that node x can reach node y through gateway a and in b hops. Note that routes between nodes x and y can be asymmetric. In other words, it is not necessary that node y reaches node x using the same route that x used to reach y. You may find, in some cases, that node x could reach node y in 3 hops while node y could reach node x in 2 hops or even had no route to node x./download/vt/maniac/fr.8376.0.topologyfiles.tar.gzvt/maniac/2007196vt/maniacAmr Hilalamr.hilal@vt.eduVirginia TechECE DepartmentPhD student197vt/maniacJawwad N Chatthachattha@vt.eduVirginia Tech198vt/maniacVivek Srivastavavivs@vt.eduVirginia Tech199vt/maniacMichael S Thompsonmichael.thompson@bucknell.eduBucknell UniversityDept. of Electrical EngineeringAssistant Professor of Electrical Engineering+1 570-577-3853+1 570-577-1449200vt/maniacAllen B MacKenziemackenab@vt.eduVirginia TechWireless @ Virginia Tech, Bradley Department of Electrical and Computer EngineeringAssistant Professor

302 Whittemore Hall (0111); Blacksburg, VA 24061

+1 540-231-3565+1 540-231-3362http://www.ece.vt.edu/mackenab/201vt/maniacLuiz A DaSilvaldasilva@vt.eduVirginia TechWireless @ Virginia Tech, Bradley Department of Electrical and Computer EngineeringAssociate Professor+1 703-538-8302202vt/maniacPallavi Saraswatipallavi05@vt.eduVirginia TechECE DepartmentGraduate studenthilal-interactionsA. HilalJ. N. ChatthaV. SrivastavaM. S. ThompsonA. B. MacKenzieL. A. DaSilva2008Proceedings of the Third ACM International Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH)

San Francisco, CA

--09--http://www.maniacchallenge.org/demofinal.pdfcrawdadmeasurementwirelessvt_maniaccrawdadvt/maniacCooperation among nodes in an ad hoc network is essential for multi-hop communication. Non- cooperative or selfish nodes reduce (or cease) cooperation by refusing to forward packets for others. In this demo we showcase the interactions between various cooperation strategies and quantify their impact on timely delivery of traffic across multi-hop routes. The cooperation strategies are implemented under the Linux operating system and run on an ad hoc network composed of virtual nodes on multiple physical workstations. The demo includes an interactive component that allows the audience to select the cooperation strategy to run on each individual network node and observe the effects of the selected combination of strategies on network performance. The mobility between nodes is emulated from connectivity traces gathered at the 2007 MANIAC Challenge.20080901kazemi-mmanH. KazemiG. C. HadjichristofiLDaSilva2008Proceedings of the Third ACM International Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH)

San Francisco, CA

--09--http://www.maniacchallenge.org/kazemi.pdfcrawdadmeasurementwirelessvt_maniaccrawdadvt/maniacMobile Ad hoc NETworks (MANETs) are networks in which mobile routers are connected via wireless links forming dynamic topologies. An important function of network management in a MANET is to observe network conditions: at the node level, this may mean keeping track of the traffic load; at the network level, the system must monitor active routes and changes in the network topology. In this research, we introduce a Monitor for Mobile Ad hoc Networks, (MMAN) to address the challenges of monitoring MANETs. We formulate an overall design structure and present an implementation of our framework for a MANET running the Optimized Link State Routing (OLSR) protocol. The unobtrusive and distributed nature of MMAN allows the system to adapt to the constantly changing nature of MANETs and to provide valuable network management, security assessment, and traffic analysis information. Our system produces a dynamic picture of the network level and node level information on a graphical user interface. The system is non-intrusive, generates no additional traffic on the MANET it monitors, and requires only modest processing and storage resources.20080901srivastava-maniacV. SrivastavaA. HilalM. S. ThompsonJ. N. ChatthaA. B. MacKenzieL. A. DaSilva2008Proceedings of the Third ACM International Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH)

San Francisco, CA

--09--http://www.maniacchallenge.org/srivastava.pdfcrawdadmeasurementwirelessvt_maniaccrawdadvt/maniacThis paper reports data collected during the first Mobile Ad-hoc Network Interoperability And Cooperation (MANIAC) Challenge, a multi-institution competition that allows us to study issues of interoperability and cooperation in mobile ad hoc networks (MANETs). We characterize network topology and routing. The former includes network connectivity and diameter, node degree distribution, clustering, and frequency of topology changes. The latter includes route length distribution, route asymmetry, frequency of route changes, and packet delivery ratio. Results show a high degree of topology and route changes, even when mobility is low, and a prevalence of asymmetric routes, both of which contradict assumptions commonly made in MANET simulation studies. Our data sets will be made publicly available for use by other researchers.20080901