Communication- and position-aware reconfigurable route optimization in large-scale mobile sensor networks

Fida, Adnan; Iqbal, Muhammad; Ngo, Trung Dung

doi:10.1186/1687-1499-2014-207

Cited by 6 publications

(2 citation statements)

References 54 publications

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“…This estimated slack is further used for proper mobility control. Fida, Iqbal, and Ngo [177] proposed a new metric, called reception probability, and a throughput based route optimization method that employs the new metric. They used Particle Swarm Optimization (PSO) [178] for finding the optimal configuration due to non-convexity of the problem.…”

Section: Robotic Router Positioningmentioning

confidence: 99%

Robotic Wireless Sensor Networks

Ghosh

Gasparri

Jin

et al. 2019

Mission-Oriented Sensor Networks and Systems: Art and Science

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In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system that aims to achieve certain sensing goals while meeting and maintaining certain communication performance requirements, through cooperative control, learning and adaptation. While both of the component areas, i.e., Robotics and WSN, are very well-known and well-explored, there exist a whole set of new opportunities and research directions at the intersection of these two fields which are relatively or even completely unexplored. One such example would be the use of a set of robotic routers to set up a temporary communication path between a sender and a receiver that uses the controlled mobility to the advantage of packet routing. We find that there exist only a limited number of articles to be directly categorized as RWSN related works whereas there exist a range of articles in the robotics and the WSN literature that are also relevant to this new field of research. To connect the dots, we first identify the core problems and research trends related to RWSN such as connectivity, localization, routing, and robust flow of information. Next, we classify the existing research on RWSN as well as the relevant state-of-the-arts from robotics and WSN community according

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Section: Robotic Router Positioningmentioning

confidence: 99%

Robotic Wireless Sensor Networks

Ghosh

Gasparri

Jin

et al. 2019

Mission-Oriented Sensor Networks and Systems: Art and Science

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“…Adnan Fida (2014), [3] proposed a route optimization technique known as COMPARE named as communication and position aware reconfigurable route optimization which provides end to end transmission. Route has selected after checking the quality of the link of the network through the probability of the successfully receiving packets over a link.…”

Section: The Figure 7 Describes the Taxonomy Of Trust Model Accormentioning

confidence: 99%

A Review On Recent Routing Protocols In Field Of Wireless Communication

Ranii¹

2017

IJRASET

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Routing is used to find the shortest distance between the different nodes from source to destination. Routing is basically used to find the efficient path to send the packets from source to destination. In the traditional technique, the main focus was on the distance. But as the time passes, so many issues took place which becomes a hindrance for achieving efficient routing in WSN. This study provides an overview to the concept of routing. The type of routing is also discussed under this in section 1. Section 2 represents the various issues and challenges that falls on the way to achieve effective route for data transfer. Section 3 represents the concept of trust based routing, in which all the trust models are defined in brief along with their pros and cons. Section 4 represents the work that already had been done in this work. Section 5 is winding up of the study by presenting the whole research in brief.

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Coordinated throughput optimization for mobile sensor networks under heterogeneous fading conditions

Fida

Iftikhar

Yaqub

et al. 2020

Trans Emerging Tel Tech

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This paper considers the P2P throughput optimization of mobile wireless sensor networks under a Rician/Rayleigh heterogeneous fading environment. The Rician/Rayleigh fading scenarios considers both extreme cases of signal propagation, that is, dominant line of sight (LOS) signal and No LOS (NLOS) signal.We focus on a type of P2P communication between wireless sensor nodes where the desired signal experiences Rician fading channel and the interfering signals undergoes Rayleigh fading channel. The coordinated link quality-and position-aware route (C-LPAR) reconfiguration strategy is proposed to exploit the multipath fading characteristics and mobility of nodes in order to provide optimal end-to-end throughput routes in presence of path loss, fading and interference. We studied the performance of proposed strategy under different environmental conditions and investigated the achievable throughput as well as number of hops and euclidean distance of the routes.

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Communication- and position-aware reconfigurable route optimization in large-scale mobile sensor networks

Cited by 6 publications

References 54 publications

Robotic Wireless Sensor Networks

Robotic Wireless Sensor Networks

A Review On Recent Routing Protocols In Field Of Wireless Communication

Coordinated throughput optimization for mobile sensor networks under heterogeneous fading conditions

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