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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington ABSTRACT (maximum 200 words)This thesis explores the foundation of modern Disruption Tolerant Protocols. It introduces a previously unpublished protocol with high probability of delivery called the Geolocation Assisted Predictive Routing (GAPR) Protocol and implements Vector Routing for The ONE Simulator. GAPR and Vector are then combined and implemented as GAPR2, a new protocol that provides delivery ratio near the best in the field while incurring a quarter of the overhead. GAPR2, GAPR, and Vector, along with the most widely referenced DTN routing protocols (Epidemic, MaxProp, and PRoPHETv2) are extensively simulated and their performance evaluated using three mobility models: the Helsinki scenario, a random mobility model, and a military scenario based on a real-world annual exercise. The custom-built military mobility model uses GIS topographical data and custom GIS overlays to implement a realistic scenario terrain. The performance of each protocol is evaluated.This thesis shows through simulation that DTN networks can be employed to enhance communications capabilities without expensive infrastructure or significant platform upgrades. Further, this thesis shows through large-scale simulations that such a network is capable of operating over hundreds of square kilometers and provides the simulation framework to test future routing protocols or equipment configurations. SUBJECT TERMS ABSTRACTThis thesis explores the foundation of modern Disruption Tolerant Protocols. It introduces a previously unpublished protocol with high probability of delivery called the Geolocation Assisted Predictive Routing (GAPR) Protocol and implements Vector Routing for The ONE Simulator. GAPR and Vector are then combined and implemented as GAPR2, a new protocol that provides delivery ratio near the best in the field while incurring a quarter of the overhead. GAPR2, GAPR, and Vector, along with the most widely referenced DTN routing protocols (Epidemic, MaxProp, and PRoPHETv2) are extensively simulated and their performance evaluated using three mobility models: the Helsinki scenario, a random mobility model, and a military scenario based on a real-world annual exercise. The custom-built military mobility model uses GIS topographical data and custom GIS overlays to implement a realistic scenario terrain. The performance of each protocol is evaluated.This thesis shows through simulation that DTN networks can be employed to enhance communications capabilities without expensive infrastructure or significant platform upgrades. Further, this thesis shows through large-scale simulations that suc...
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington ABSTRACT (maximum 200 words)This thesis explores the foundation of modern Disruption Tolerant Protocols. It introduces a previously unpublished protocol with high probability of delivery called the Geolocation Assisted Predictive Routing (GAPR) Protocol and implements Vector Routing for The ONE Simulator. GAPR and Vector are then combined and implemented as GAPR2, a new protocol that provides delivery ratio near the best in the field while incurring a quarter of the overhead. GAPR2, GAPR, and Vector, along with the most widely referenced DTN routing protocols (Epidemic, MaxProp, and PRoPHETv2) are extensively simulated and their performance evaluated using three mobility models: the Helsinki scenario, a random mobility model, and a military scenario based on a real-world annual exercise. The custom-built military mobility model uses GIS topographical data and custom GIS overlays to implement a realistic scenario terrain. The performance of each protocol is evaluated.This thesis shows through simulation that DTN networks can be employed to enhance communications capabilities without expensive infrastructure or significant platform upgrades. Further, this thesis shows through large-scale simulations that such a network is capable of operating over hundreds of square kilometers and provides the simulation framework to test future routing protocols or equipment configurations. SUBJECT TERMS ABSTRACTThis thesis explores the foundation of modern Disruption Tolerant Protocols. It introduces a previously unpublished protocol with high probability of delivery called the Geolocation Assisted Predictive Routing (GAPR) Protocol and implements Vector Routing for The ONE Simulator. GAPR and Vector are then combined and implemented as GAPR2, a new protocol that provides delivery ratio near the best in the field while incurring a quarter of the overhead. GAPR2, GAPR, and Vector, along with the most widely referenced DTN routing protocols (Epidemic, MaxProp, and PRoPHETv2) are extensively simulated and their performance evaluated using three mobility models: the Helsinki scenario, a random mobility model, and a military scenario based on a real-world annual exercise. The custom-built military mobility model uses GIS topographical data and custom GIS overlays to implement a realistic scenario terrain. The performance of each protocol is evaluated.This thesis shows through simulation that DTN networks can be employed to enhance communications capabilities without expensive infrastructure or significant platform upgrades. Further, this thesis shows through large-scale simulations that suc...
Delay tolerant networks are a class of ad hoc networks that enable data delivery even in the absence of end-to-end connectivity between nodes, which is the basic assumption for routing in ad hoc networks. Nodes in these networks work on store-carry and forward paradigm. In addition, such networks make use of message replication as a strategy to increase the possibility of messages reaching their destination. As contact opportunities are usually of short duration, it is important to prioritize scheduling of messages. Message replication may also lead to buffer congestion. Hence, buffer management is an important issue that greatly affects the performance of routing protocols in delay tolerant networks. In this paper, Spray and Wait routing protocol, which is a popular controlled replication-based protocol for delay tolerant networks, has been enhanced using a new fuzzy-based buffer management strategy Enhanced Fuzzy Spray and Wait Routing, with the aim to achieve increased delivery ratio and reduced overhead ratio. It aggregates three important message properties namely number of replicas of a message, its size, and remaining time-to-live, using fuzzy logic to determine the message priority, which denotes its importance with respect to other messages stored in a node's buffer. It then intelligently selects messages to schedule when a contact opportunity occurs. Because determination of number of replicas of a message in the network is a difficult task, a new method for estimation of the same has been proposed. Simulation results show improved performance of enhanced fuzzy spray and wait routing in terms of delivery ratio and resource consumption. many real life applications such as mobile sensor networks for wildlife tracking, interplanetary communications, underwater networks, pocket switched networks, and vehicular ad hoc networks (VANETs). [5]. These networks use a bundle layer, which is an overlay protocol lying between application layer and transport layer [5]. Bundles are arbitrary size messages consisting of multiple application packets, which are forwarded in store-carry and forward manner.Conventional ad hoc routing protocols fail to work in such environments as they lack continuous end-to-end connectivity between nodes because of frequent link disruptions. Therefore, such networks make use of store-carry-forward strategy to transfer messages between the nodes, that is, the nodes buffer the messages and transfer it when a contact opportunity arises, and this process is repeated until the message eventually reaches its destination. Similarly, a carry and forward scheme is used in VANETs [6]. This is also somewhat similar to the problem of data dissemination in wireless networks, which has been recently studied in [7], where the main objective is to spread a particular content in a network while guaranteeing a low completion time and also minimizing resource consumption. However, the delays between node meetings in DTNs may be very long varying from hours, days to years, and hence nodes must be capable of s...
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