• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.2C
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• pp.188-195
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• 2012

Many systems are developing for the realization of NCW(Network Centric Warfare). UAV(Unmanned Aerial Vehicle) Network is attracting attention in a lot of military applications. In general, UAVs have the potential to create an ad-hoc network and greatly reduce the hops from source to destination. However, UAV networks exhibit unique properties such as high mobility, high data rate, and real time service. The routing protocols are required to design the multi-hop routing protocols that can dynamically adapt to the requirements of UAV network. In this paper we analyse Geographic Routing Protocol is based on geographical distance between source and destination for efficient and reliable transmission. Geographic Routing Protocol is evaluated in video service scenarios with TDMA model in our simulation. The simulation results show that the performance of Geographic Routing Protocol is better than the MANET Routing Protocol in terms of packet received ratio, end to end delay, and routing traffic sent.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.495-499
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• 2009

An underlying assumption in geographic routing protocols, periodic position exchange among neighbors has two problems: (1) unnecessary energy consumptions of nodes in regions without data delivery and (2) position invalidation of neighbors in forwarding data. Hence, this paper proposes an on-demand geographic routing protocol in mobile wireless sensor networks. The proposed protocol make a sender acquire position information of only necessary neighbors to reduce energy consumption in data forwarding time and determine an optimal node among them as a receiver for relaying data to a destination by considering their mobility. Simulation results show that the proposed protocol is more efficient than an existing geographic routing protocol.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.51-53
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• 2009

In wireless sensor networks(WSNs), geographic routing algorithms can enhance the network capacity. However, in the real WSNs, it is difficult for each node to know its accurate physical location. Geographic routing with location error may have serious problems such as disconnected links and delayed data transmission. In this letter, we present an efficient location error detection scheme for geographic routing. The proposed algorithm can efficiently update its incorrect location without additional procedure and finally enhance the performance on the geographic routing with the location errors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.4244-4274
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• 2021

The utilization of UAVs in various fields has led to the development of flying ad hoc network (FANET) technology. In a network environment with highly dynamic topology and frequent link changes, the traditional routing technology of FANET cannot satisfy the new communication demands. Traditional routing algorithm, based on geographic location, can "fall" into a routing hole. In view of this problem, we propose a geolocation routing protocol based on multi-agent reinforcement learning, which decreases the packet loss rate and routing cost of the routing protocol. The protocol views each node as an intelligent agent and evaluates the value of its neighbor nodes through the local information. In the value function, nodes consider information such as link quality, residual energy and queue length, which reduces the possibility of a routing hole. The protocol uses global rewards to enable individual nodes to collaborate in transmitting data. The performance of the protocol is experimentally analyzed for UAVs under extreme conditions such as topology changes and energy constraints. Simulation results show that our proposed QLGR-S protocol has advantages in performance parameters such as throughput, end-to-end delay, and energy consumption compared with the traditional GPSR protocol. QLGR-S provides more reliable connectivity for UAV networking technology, safeguards the communication requirements between UAVs, and further promotes the development of UAV technology.

• Journal of information and communication convergence engineering
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• v.7 no.4
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• pp.489-495
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• 2009

Geographic routing has attracted many researcers with no need for routing table to forward packet in mobile ad hoc networks. Previously, some literatures have mentioned how to improve the performance via simulation results. However, they didn't address the impact of various mobility models and beacon interval, which is used to maintain recent position information for nodes. In this paper, we introduce well-known geographic routing protocol called as GPSR and conduct simulation to identify the impact of these parameters. Even though GPSR shows acceptable performance in most cases, sometimes its performance becomes worse than what we expect.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.45 no.12
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• pp.58-65
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• 2008

This paper presents a new geographic distributed hash table (GDHT) for MANETs or Mesh networks, where virtual geographic protocol is used. In previous wort GDHT is applied to a network scenario based on two dimensional Cartesian coordinate system. Further, logical data space is supposed to be uniformly distributed. However, mobile node distribution in a network using virtual geographic routing is not matched to data distribution in GDHT. Therefore, if we apply previous GDHT to a virtual geographic routing network, lots of DHT data are probably located at boundary nodes of the network or specific nodes, resulting in long average-delay to discover resource (or service). Additionally, in BVR(Beacon Vector Routing) or LCR(Logical Coordinate Routing), because there is correlation between coordinate elements, we cannot use normal hash function. For this reason, we propose to use "geographic hash function" for GDHT that matches data distribution to node distribution and considers correlation between coordinate elements. We also show that the proposed scheme improves resource discovery efficiently.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1058-1069
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• 2015

In wireless sensor networks, geographic routing is known as an efficient method to transmit the data packet using the location information. Geographic routing relies on two techniques: greedy forwarding and face routing. Face routing helps to recover from greedy routing fail and is based on the planar graph in which does not cross each edge. However, the planarization causes frequently short transmission of data packet because it removes other edges except the shortest one. In other words, since the planarization removes the long edges, face routing could not exploit the efficient removed edges of communication graph. This problem brings about the excessive energy consumption of nodes. In this paper, we propose an energy efficient face routing protocol in wireless sensor networks. This proposed protocol searches the removed edges and transmits them via the edges. Simulation shows that the proposed protocol is more efficient in terms of energy consumption than the previous face routing.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1195-1198
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• 2007

In this paper we study the problem of real time support in wireless sensor networks and propose a Real time Geographic Routing Protocol (ReGeo) which routes a packet towards the destination based on a compromise between distance and queue count to reduce traffic concentration wherever it has been determined to be too high and uses Gradient Table to store the route satisfying the delay constraints. We describe our prototype implementation of ReGeo Routing in TOSSIM - a TinyOS mote simulator. The simulation results show that the proposed routing protocol not only increases the packet delivery ratio but also keeps overall End to End Delay under a bounded value.

• Journal of KIISE:Information Networking
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• v.33 no.6
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• pp.438-450
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• 2006

Geographic routing protocols are very attractive choice for routing in wireless sensor networks because they have been shown to scale better than other alternatives. Under certain ideal conditions, geographic routing works correctly and efficiently. The most commonly used geographic routing protocols include greedy forwarding coupled with face routing. Existing face routing algorithms use planarization techniques that rely on the unit-graph assumption. In real world, many conditions violate the unit-graph assumption of network connectivity, such as location errors, communication voids and radio irregularity, cause failure in planarization and consequently face routing. In this paper, we propose the direction-based geographic routing, which enables energy efficient routing under realistic conditions without planarization techniques. Our proposed approach is for the case in which many sensors need to collect data and send it to a central node. Simulation results show that the protocol exhibits superior performances in terms of energy consumption, delivery success rate, and outperforms the compared protocols.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.67-72
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• 2022

A wireless sensor network (WSN), with its constrained sensor node energy supply, needs an energy-efficient routing technique that maximises overall system performance. When rumours are routed using a random-walk routing algorithm, which is not highly scalable, spiral pathways may appear. Because humans think a straight line is the quickest route between two sites and two straight lines in a plane are likely to intersect, straight-line routing (SLR) constructs a straight path without the aid of geographic information. This protocol was developed for WSNs. As a result, sensor nodes in WSNs use less energy when using SLR. Using comprehensive simulation data, we show that our upgraded SLR systems outperform rumour routing in terms of performance and energy conservation.