scholarly journals Hybrid Zoning Algorithm to Optimize Overhead in Smart Mobile Communication

2019 ◽  
Vol 8 (4) ◽  
pp. 53
Author(s):  
Mohammed Souidi ◽  
Ahmed Habbani ◽  
Halim Berradi
Keyword(s):  
Network Topology ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Radio Channel ◽  
Mobile Network ◽  
Link State ◽  
Hoc Networks ◽  
Smart Mobile ◽  
The Cost ◽  
Optimized Link State Routing

With the increase of mobile terminals, routing protocols in wireless communications must provide better quality of service to meet bandwidth and reliability requirements. In networks without infrastructure, such as ad hoc and sensor networks, where a device performs as both a terminal and a router to forward data of other nodes, maintaining the network topology consumes considerable resources in terms of energy and bandwidth. These parameters need to be considered when designing routing protocols for wireless networks. To reduce the cost of the protocol overhead, some algorithms act on the forwarders, while others act on the transmission of messages. Finally, the hybrid ones are a combination of both. In this paper, we propose a new algorithm with two zoning strategies to enhance the performance of mobile network. The first strategy helps to select dispersive forwarders in order to reduce the collision in radio channel. The second strategy aims to reduce the transmission of redundant messages. Both strategies are based on the location information of nodes. We implemented our algorithm in the optimized link state routing protocol, the most used protocol in mobile ad hoc networks. We showed by simulations that our solution reduces drastically the cost of the overhead with no hindrance to the network topology.

scholarly journals Performance Enhancement of Optimized Link State Routing Protocol by Parameter Configuration for UANET

Drones ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 22
Author(s):  
Esmot Ara Tuli ◽  
Mohtasin Golam ◽  
Dong-Seong Kim ◽  
Jae-Min Lee
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Performance Enhancement ◽  
Geographic Routing ◽  
Simulation Software ◽  
Link State ◽  
Parameter Configuration ◽  
Hoc Networks ◽  
Dynamic Attributes ◽  
Optimized Link State Routing

The growing need for wireless communication has resulted in the widespread usage of unmanned aerial vehicles (UAVs) in a variety of applications. Designing a routing protocol for UAVs is paramount as well as challenging due to its dynamic attributes. The difficulty stems from features other than mobile ad hoc networks (MANET), such as aerial mobility in 3D space and frequently changing topology. This paper analyzes the performance of four topology-based routing protocols, dynamic source routing (DSR), ad hoc on-demand distance vector (AODV), geographic routing protocol (GRP), and optimized link state routing (OLSR), by using practical simulation software OPNET 14.5. Performance evaluation carries out various metrics such as throughput, delay, and data drop rate. Moreover, the performance of the OLSR routing protocol is enhanced and named “E-OLSR” by tuning parameters and reducing holding time. The optimized E-OLSR settings provide better performance than the conventional request for comments (RFC 3626) in the experiment, making it suitable for use in UAV ad hoc network (UANET) environments. Simulation results indicate the proposed E-OLSR outperforms the existing OLSR and achieves supremacy over other protocols mentioned in this paper.

Cross-Layer Multimedia QoS Provisioning over Ad Hoc Networks

2012 ◽  
pp. 460-499 ◽  
Author(s):  
Raad Alturki ◽  
Rashid Mehmood
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Geographic Routing ◽  
Simulation Software ◽  
Large Networks ◽  
Link State ◽  
Hoc Networks ◽  
Qos Performance ◽  
Future Work

The HCPR scheme is implemented as an extension to the OPNET simulation software and is analysed in detail for its QoS performance to deliver multimedia applications over ad hoc networks. It is compared with three well-known and widely used routing protocols: Ad Hoc On Demand Distance Vector (AODV), Optimised Link State Routing (OLSR), and Geographic Routing Protocol (GRP). Several networking scenarios have been carefully configured with variations in networks sizes, applications, codecs, and routing protocols to extensively analyse the proposed scheme. The HCPR enabled ad hoc network outperforms the well-known routing schemes, in particular for relatively large networks and high QoS network loads. These results are promising because many QoS schemes do work for small networks and low network loads but are unable to sustain performance for large networks and high QoS loads. Several directions to extend this research for future work are given.

Fuzzy QoS Based OLSR Network

2013 ◽  
pp. 50-55
Author(s):  
G. Uma Maheswari
Keyword(s):  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Wireless Networks ◽  
Mobile Wireless ◽  
Fuzzy Logic Algorithm ◽  
Link State ◽  
Hoc Networks ◽  
Path Computations ◽  
Optimized Link State Routing

Quality-of-Service (QoS) routing protocol is developed for mobile Ad Hoc Networks. MANET is a self configuring network of mobile devices connected by wireless links. Each device in the MANET is free to move independently in any direction; therefore, it changes links to other devices frequently. The proposed QoS-based routing in the Optimized Link State Routing (OLSR) protocol relates bandwidth and delay using a fuzzy logic algorithm. The path computations are examined and the reason behind the selection of bandwidth and delay metrics is discussed. The performance of the protocol is investigated by simulation. The results in FQOLSR indicate an improvement in mobile wireless networks compared with the existing QOLSR system.

Reliable Routing Protocols in VANETs

2010 ◽  
pp. 200-213 ◽  
Author(s):  
Gongjun Yan ◽  
Danda B. Rawat ◽  
Samy El-Tawab
Keyword(s):  
Network Topology ◽  
Routing Protocols ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Probability Model ◽  
Difficult Problem ◽  
Model Based ◽  
Ideal Tool ◽  
Routing Method ◽  
Hoc Networks

One of the notoriously difficult problems in vehicular ad-hoc networks is to ensure that established paths do not break before the end of data transmission. This is a difficult problem because the network topology is changing constantly and the routing links are inherently unstable. This chapter reviews several routing protocols which are designed for vehicular network environment. Currently, there are five major types of routing protocols based on the metrics used for routing: 1) flooding based routing, 2) mobility based routing, 3) infrastructure based routing, 4) geographic position based routing, and 5) probability model based routing. We give a survey of each type of routing method. Since probability theory is an ideal tool to describe the dynamics of vehicles, we present one probability model based routing method as a detailed example.

Inter-Domain Routing in Mobile Ad Hoc Networks

2010 ◽  
pp. 1-14 ◽  
Author(s):  
Chi-Kin Chau ◽  
Jon Crowcroft ◽  
Kang-Won Lee ◽  
Starsky H.Y. Wong
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Network Topology ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Ad Hoc Routing ◽  
New Directions ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Inter Domain Routing

Because of the increasing number of diverse routing protocols proposed to deal with the network dynamics in mobile ad hoc networks (MANETs), the heterogeneity of MANETs has increased dramatically. While many of these extant proposals only concern enhancing routing in a single domain, little attention has been given to the interoperations among heterogeneous MANETs. Moreover, the existing inter-domain routing protocols (i.e., BGP) that have been designed for the Internet cannot cope with the new challenges derived from the MANETs, such as (1) the rapid dynamic changes of network topology due to mobility, and (2) the larger diversity in intra-domain ad hoc routing protocols. In this chapter, the authors address some of the major challenges and identify new directions to the development of seamless inter-domain routing for enabling end-to-end communications over heterogeneous MANET domains.

scholarly journals Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 24
Author(s):  
Pere Millán ◽  
Carles Aliagas ◽  
Carlos Molina ◽  
Roc Meseguer ◽  
Sergio F. Ochoa ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Low Cost ◽  
High Mobility ◽  
Message Routing ◽  
Link State ◽  
Previous Proposal ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Optimized Link State Routing ◽  
Prediction Strategy

The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.

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