A Survey of Geographical Routing in Wireless Ad-Hoc Networks

Cadger, Fraser; Curran, Kevin; Santos, Jose; Moffett, Sandra

doi:10.1109/surv.2012.062612.00109

Cited by 203 publications

(122 citation statements)

References 79 publications

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“…However, this protocol does not provide any guarantee in end-to-end real-time delivery. EDF [17] provides a real-time decentralized scheduling that guarantees end-to-end delivery, but it needs a priori defined schedule that is not feasible in most of WSN applications. SPEED [18] is a real-time GRP that uses neighbour information to estimate distance in a routing protocol.…”

Section: Related Workmentioning

confidence: 99%

Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol for wireless sensor networks

Entezami¹,

Politis²

2015

J Wireless Com Network

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Devices for wireless sensor networks (WSN) are limited by power, and thus, routing protocols should be designed with this constraint in mind. WSNs are used in three-dimensional (3D) scenarios such as the surface of sea or lands with different levels of height. This paper presents and evaluates the Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol (3DPBARP) as a novel, real-time, position-based and energy-efficient routing protocol for WSNs. 3DPBARP is a lightweight protocol that reduces the number of nodes which receive the radio frequency (RF) signal using a novel parent forwarding region (PFR) algorithm. 3DPBARP as a Geographical Routing Protocol (GRP) reduces the number of forwarding nodes and thus the traffic and packet collision in the network. A series of performance evaluations through MATLAB and Omnet++ simulations show significant improvements in network performance parameters and total energy consumption over the 3D Position-Based Routing Protocol (3DPBRP) and Directed Flooding Routing Protocol (DFRP).

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Section: Related Workmentioning

confidence: 99%

Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol for wireless sensor networks

Entezami¹,

Politis²

2015

J Wireless Com Network

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“…하지만 토 폴로지 라우팅 기법은 지속적으로 네트워크 정보를 최 신화하기 위한 컨트롤 오버헤드가 증가되는 문제점이 있다. 이러한 문제점을 해결하기 위해 각각의 UGV가 GPS(Global Positioning System)를 통해 획득한 위치 정 보를 활용하여 라우팅 경로를 구성하는 위치기반 라우 팅 기법에 관한 연구가 진행되고 있다 [4] . 하지만 대부 분의 위치기반 라우팅에 관한 연구에서 GPS를 통해 위치정보를 100 % 수신 할 수 있다고 가정한다.…”

Section: 이러 한 무인체계 중 지상 작전간 원격제어 또는 자율 기 동에 의해 사람이 직접 탑승하여 조정하지 않아도 감unclassified

GPS Jamming Resilient Location-based Routing for Unmanned Ground Vehicle Networks

Lee¹,

Jung

Kim³

et al. 2015

Journal of the Korea Institute of Military Science and Technolo

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“…Geographical routing protocols and its drawbacks are surveyed in [6]. The geographical routing does not need topology storage, which makes it suitable to the dynamic network topologies.…”

Section: Existing Geographical Routing Protocolsmentioning

confidence: 99%

“…Moreover, the traveling time of the beacon message is determined using the equation (5). However, the beacon velocity (B V ) is determined using the equation (6). For instance, the first priority node velocity equal to the ratio of distance to the destination to the  D which is calculated using the equation (4).…”

Section: Active_periodic Position Update (A_ppu)mentioning

confidence: 99%

Effective Geographical Routing in the Presence of Unpredictable Node Mobility

Srimanchari¹,

Saroja²,

Venkatachalam³

2013

IJCA

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The geographical routing protocol employs position information from the localization system for multi-hop data communication. However, the location inaccuracy due to the unpredictable node mobility and the power consumption of localization system reduces the performance of geographical routing protocol. Several geographical routing protocols have been proposed in Mobile Ad Hoc Network (MANET). The well-known geographical routing among them is Greedy Perimeter Stateless Routing (GPSR). In GPSR, the dead end node selection for data communication easily handles the network scalability. However, the highly dynamic network topology makes frequent changes in the neighbor's location. Hence, the inaccurate location information degrades GPSR performance. This paper proposed a Modified GPSR (MGPSR) protocol to improve the performance under a large scale and a high mobility network. Moreover, the MGPSR consists of Neighbor List Learning (NNL), Node Mobility Prediction (NMP), and Periodic Position Update (PPU) schemes to balance the data delay and packet delivery ratio. The NNL along with NMP scheme provides the accurate neighbor list under a high mobility network. Furthermore, the PPU supports the guarantee for accurate neighbor location. In addition, the proposed schemes reduce the usage of localization systems to provide accurate location information with low power consumption which improve the routing performance in MGPSR. This work simulates and compares the performance of an enhanced MGPSR in the aspects of packet delivery ratio and throughput with the existing GPSR. Thus, it proves the MGPSR outperforms the GPSR under a large scale with a high mobility network.

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A Survey of Geographical Routing in Wireless Ad-Hoc Networks

Cited by 203 publications

References 79 publications

Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol for wireless sensor networks

Three-Dimensional Position-Based Adaptive Real-Time Routing Protocol for wireless sensor networks

GPS Jamming Resilient Location-based Routing for Unmanned Ground Vehicle Networks

Effective Geographical Routing in the Presence of Unpredictable Node Mobility

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