A pseudo gossip routing algorithm in mobile ad hoc networks

Xiao, Bailong; Wei, Guo; Liu, Jun; Zhu, Shun‐Peng

doi:10.1109/icccas.2007.6250854

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…It frequently causes communication lines to be disrupted, resulting in data dissemination failures. According to this study conducted in the literature, 42 when the communication distance is minimum as 90% of the communication range R , the data transmission rate is nearly 100%. The safe zone is defined as an R of less than or equal to 90% (0.9 R ) in the proposed work.…”

Section: Proposed Uf‐gpsr Protocolmentioning

confidence: 93%

UF‐GPSR: Modified geographical routing protocol for flying ad‐hoc networks

Kumar

Raw

Bansal

et al. 2023

Trans Emerging Tel Tech

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Flying Ad‐hoc Networks (FANETs) has recently gained significant exposure for their emerging military, civil, and commercial applications. In FANETs, all Unmanned Aerial Vehicles (UAVs) can communicate within a restricted wireless communication range without fixed infrastructure. However, the highly dynamic nature of UAVs imposes a significant issue in FANET's communications. Therefore, designing an effective routing strategy is always necessary for sustaining appropriate network performance in FANETs. This paper is interested in modifying Greedy Perimeter Stateless Routing (GPSR) protocol named Utility Function based Greedy Perimeter Stateless Routing (UF‐GPSR) protocol for FANETs. The proposed approach optimizes the greedy forwarding strategy by considering multiple vital parameters of UAVs: residual energy ratio, distance degree, movement direction, link risk degree, and speed, respectively. The proposed UF‐GPSR applies the utility function on these parameters to enhance the routing performance by selecting optimal next‐hop within the communication range. The effectiveness of the proposed work is mathematically evaluated and then simulated through the NS‐3.23 simulator. The experimental outcomes verify that the proposed routing approach enhances the packet delivery ratio and throughput while decreasing packet drop ratio and delay compared to the other routing approaches: GPSR and GPSR‐PPU.

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Section: Proposed Uf‐gpsr Protocolmentioning

confidence: 93%

UF‐GPSR: Modified geographical routing protocol for flying ad‐hoc networks

Kumar

Raw

Bansal

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In [21], the author defined the term link availability as the probability that a link would be continuously available from t 0 to t 0 + t, given that it is active at t 0 . Moreover, some works also utilized this probability to predict the movement of nodes, where they represented the node's mobility as a stochastic process [21] [22] [23]. The velocity, moving direction and state change time are random variables, and the position of the node is a function of those variables.…”

Section: Uav's Stability In a Boundary Net-workmentioning

confidence: 99%

“…In [22], there was a strong assumption in the model, i.e., the number of the changing times of the node's mobile state during the period of prediction should be very large, which is not reasonable if that period is short. The model presented in [23] was simple, however, in this model the random walk mobility model of the node was simplified as four direction random movement, which is far from reality. Through discretizing the distance between two nodes, the authors in [21] transited the random variation of distance to a Markov chain with the discrete distances between the nodes as the state space, when a node moves with a random walk mobility model.…”

Section: Uav's Stability In a Boundary Net-workmentioning

confidence: 99%

A Distributed Gateway Selection Algorithm for UAV Networks

Luo

Jiang

et al. 2015

IEEE Trans. Emerg. Topics Comput.

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In recent years, Unmanned Aerial Vehicle (UAV) has been widely adopted in military and civilian applications. For small UAVs, cooperation based on communication networks can effectively expand their working area. Although the UAV networks are quite similar to the traditional Mobile Ad Hoc Networks, the special characteristics of the UAV application scenario have not been considered in the literature. In this paper, we propose a distributed gateway selection algorithm with dynamic network partition by taking into account the application characteristics of UAV networks. In the proposed algorithm, the influence of the asymmetry information phenomenon on UAVs' topology control is weakened by dividing the network into several sub-areas. During the operation of the network, the partition of the network can be adaptively adjusted to keep the whole network topology stable even though UAVs are moving rapidly. Meanwhile, the number of gateways can be completely controlled according to the system requirements. Specifically, we define the stability of UAV networks, build a network partition model, and design a distributed gateway selection algorithm. Simulation results show that by using our proposed scheme, the faster the nodes move in the network, the more stable topology can be found, which is quite suitable for UAV applications.

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“…Reference [14] analyzes the mathematical relationship between the distance and the link availability. When the distance is less than or equal to 0.9 r , the availability is almost equal to 1, which means the link is available.…”

Section: Fig 1 Radio Transmission Range Of Mobile Nodesmentioning

confidence: 99%

A Novel Link Stability and Energy Aware Routing with Tradeoff Strategy in Mobile Ad Hoc Networks

Xu¹,

Li²

2014

JCM

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Mobile ad hoc networks (MANETs) are selforganizing, rapidly deployable networks without any fixed infrastructure. In MANETs, mobile terminals can move freely, which cause frequent link breakage. Due to the dynamic nature of the network, finding a stable route for transmitting data is a challenging task. In order to adapt to the topological changes and provide some quality of service (QoS), this paper propose a novel link stability and energy aware routing algorithm with tradeoff strategy, and implement it on Ad Hoc On-demand Distance Vector Routing Protocol (AODV), namely NLSEA-AODV. The new protocol sets up routes with high stability in route discovery based on link stability and node energy information, and predict the breaking link in route maintenance. Besides, the routing takes a route stability-hop count tradeoff strategy to select routes with high stability and low hop count. Simulation results show that the new protocol has a better overall performance than original AODV protocol, which improved the network utilization greatly. Index Terms-MANETs, quality of service, link stability, energy aware, AODV I. INTRODUCTION A Mobile Ad hoc Network (MANET) is a dynamically changing network of arbitrarily moving wireless nodes that operate with a limited battery charge and transmission range where no fixed infrastructure or access point exists. Nodes in MANET usually move freely and communicate with other nodes by the help of intermediate nodes. Hence, routing is a critical issue and hot topic in mobile ad hoc networks (MANETs). However, routing is also especially difficult since node mobility may cause radio links to be broken frequently. Some conventional routing protocols in wired networks are not suitable for ad hoc networks. In this background, a large number of researchers pay their attention to this field and propose many efficient routing protocols for MANETs. These routing protocols generally can be categorized as proactive or reactive in nature [1]. Proactive routing protocols discover routes between every pair of nodes, irrespective of their requirement, through network-wide table updates or link-state updates. However, in a dynamically changing environment,

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A pseudo gossip routing algorithm in mobile ad hoc networks

Cited by 4 publications

References 15 publications

UF‐GPSR: Modified geographical routing protocol for flying ad‐hoc networks

UF‐GPSR: Modified geographical routing protocol for flying ad‐hoc networks

A Distributed Gateway Selection Algorithm for UAV Networks

A Novel Link Stability and Energy Aware Routing with Tradeoff Strategy in Mobile Ad Hoc Networks

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