A Dynamical Relay node placement solution for MANETs

Magán-Carrión, Roberto; Camacho, José; García-Teodoro, Pedro; Flushing, Eduardo Feo; Di, Gianni A.

doi:10.1016/j.comcom.2017.10.012

Cited by 23 publications

(12 citation statements)

References 55 publications

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“…In [33,34] the relay node dynamic re-positioning problem is tackled. The proposed solution relies on optimisation procedures and evolutionary algorithms to find the best relay locations and how the robots should move to these points.…”

Section: Connectivity-based Proposalsmentioning

confidence: 99%

An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments

et al. 2019

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The exploration problem is a fundamental subject in autonomous mobile robotics that deals with achieving the complete coverage of a previously unknown environment. There are several scenarios where completing exploration of a zone is a main part of the mission. Due to the efficiency and robustness brought by multi-robot systems, exploration is usually done cooperatively. Wireless communication plays an important role in collaborative multi-robot strategies. Unfortunately, the assumption of stable communication and end-to-end connectivity may be easily compromised in real scenarios. In this paper, a novel auto-adaptive multi-objective strategy is followed to support the selection of tasks regarding both exploration performance and connectivity level. Compared with others, the proposed approach shows effectiveness and flexibility to tackle the multi-robot exploration problem, being capable of decreasing the last of disconnection periods without noticeable degradation of the completion exploration time.

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Section: Connectivity-based Proposalsmentioning

confidence: 99%

An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments

et al. 2019

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“…Magán-Carrión et al [12] introduced a dynamic relay placement solution for improving the operational performance of MANETs. A combination of particle swarm optimization (PSO) and model predictive control (MPC) is used for the above-mentioned placement and selection.…”

Section: Related Workmentioning

confidence: 99%

A Min-Max Scheduling Load Balanced Approach to Enhance Energy Efficiency and Performance of Mobile ADHOC Networks

Venkatachalapathy

Sundaranarayana²

2019

SSRN Journal

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Energy efficiency and traffic management in Mobile Ad hoc Networks (MANETs) is a complex process due to the self-organizing nature of the nodes. Quality of service (QoS) of the network is achieved by addressing the issues concerned with load handling and energy conservation. This manuscript proposes a min-max scheduling (M2S) algorithm for energy efficiency and load balancing (LB) in MANETs. The algorithm operates in two phases: neighbor selection and load balancing. In state selection, the transmission of the node is altered based on its energy and packet delivery factor. In the load balancing phase, the selected nodes are induced by queuing and scheduling the process to improve the rate of load dissemination. The different processes are intended to improve the packet delivery factor (PDF) by selecting appropriate node transmission states. The transmission states of the nodes are classified through periodic remaining energy update; the queuing and scheduling process is dynamically adjusted with energy consideration. A weight-based normalized function eases neighbor selection by determining the most precise neighbor that satisfies transmission and energy constraints. The results of the proposed M2SLB (Min-Max Scheduling Load Balancing) proves the consistency of the proposed algorithm by improving the network throughput, packet delivery ratio and minimizing delay and packet loss by retaining higher remaining energy.

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“…The controller and relay nodes' placement is referred to as topology management in this article and is generally a combination of two different phases: construction and adjustment [20], [21]. Firstly, there must have a solution for the initial nodes distribution, which is performed during the construction phase and is computationally expensive to achieve a feasible result in general.…”

Section: Introductionmentioning

confidence: 99%

STFANET: SDN-Based Topology Management for Flying Ad Hoc Network

et al. 2019

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In recent years, with the growth in the use of Unmanned Aerial Vehicles (UAVs), UAV-based systems have become popular in both military and civil applications. The lack of reliable communication infrastructure in these scenarios has motivated the use of UAVs to establish a network as flying nodes, also known as Flying Ad Hoc Networks (FANETs). However, the high mobility degree of flying and terrestrial users may be responsible for constant changes in the network topology, which makes more challenging to guarantee their communication during the operational time. In this context, this article presents a Software-defined networking (SDN) based Topology management for FANETs-called of STFANET-, which is a coordination protocol that englobes both an efficient SDN-based UAV communication and a set of topology management algorithms. The goal is to establish and maintain a FANET topology in order to provide a constant and reliable communication link among independent nodes-which are performing individual or collaborative missions-through relays units. Simulation results show the efficiency of the proposed protocol in order to provide communication in a dynamic scenario. Considering its use in a military setting, STFANET managed to achieve 25% of packet loss in transmitting data packets, 1.5ms of latency and 71% of connectivity on average. INDEX TERMS FANET, topology management, relay node placement, SDN, communication protocol.

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A Dynamical Relay node placement solution for MANETs

Abstract: 18071 Granada (Spain) b Istituto Dalle Molle di studi sull'intelligenza artificiale (IDSIA, http://www.idsia.ch) Galleria 2, Via Cantonale 2c-CH-6928 Manno (Switzerland)

Cited by 23 publications

References 55 publications

An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments

An Auto-Adaptive Multi-Objective Strategy for Multi-Robot Exploration of Constrained-Communication Environments

A Min-Max Scheduling Load Balanced Approach to Enhance Energy Efficiency and Performance of Mobile ADHOC Networks

STFANET: SDN-Based Topology Management for Flying Ad Hoc Network

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