The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O controle de mobilidade de nós móveis pode ser uma alternativa ao ajuste da potência de transmissão caso a potência de transmissão fixa seja utilizada apenas no controle da topologia. Assumindo a mobilidade controlável dos nós, propomos quatro algoritmos de controle de mobilidade distribuída garantindo a conectividade da rede e a melhoria da capacidade. Comparamos o rendimento de cada algoritmo com a lei de escala de capacidade amplamente aceita, considerando o consumo de energia. Os algoritmos de controle de topologia baseados em mobilidade propostos são nomeados de acordo com suas características operacionais; RP (Ponto de Encontro), NNT (Rastreamento do Vizinho Mais Próximo), DM (Modelo de Difusão) e GP (Grid Packing). Através de extensas simulações, mostramos que todos os algoritmos propostos alteram com sucesso uma topologia de rede aleatória particionada para uma topologia de rede conectada sem controle de potência. Além disso, a topologia reconfigurada pelo controle de mobilidade tem capacidade de rede melhorada além daquela da rede inicial. Na métrica de desempenho recém-definida, capacidade efetiva, os resultados da simulação mostram que o GP fornece desempenho mais aprimorado e estável em várias densidades de nós com um curto tempo de conclusão.
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Jae-Young SEOL, Seong-Lyun KIM, "Mobility-Based Topology Control for Wireless Ad Hoc Networks" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1443-1450, June 2010, doi: 10.1587/transcom.E93.B.1443.
Abstract: The mobility control of mobile nodes can be an alternative to the transmitting power adjustment in case that fixed transmitting power is just used in the topology control. Assuming the controllable mobility of nodes, we propose four distributed mobility control algorithms assuring the network connectivity and the capacity improvement. We compare the throughput of each algorithm with the widely accepted capacity scale law considering the energy consumption. The proposed mobility-based topology control algorithms are named according to its operational characteristics; RP (Rendezvous Point), NNT (Nearest Neighbor Tracking), DM (Diffusion Model), and GP (Grid Packing). Through extensive simulations, we show that all the proposed algorithms successfully change a partitioned random network topology into a connected network topology without the power control. Furthermore, the topology reconfigured by the mobility control has the improved network capacity beyond that of the initial network. In the newly defined performance metric, effective capacity, the simulation results show that GP provides more improved and stable performance over various node densities with the short completion time.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1443/_p
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@ARTICLE{e93-b_6_1443,
author={Jae-Young SEOL, Seong-Lyun KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Mobility-Based Topology Control for Wireless Ad Hoc Networks},
year={2010},
volume={E93-B},
number={6},
pages={1443-1450},
abstract={The mobility control of mobile nodes can be an alternative to the transmitting power adjustment in case that fixed transmitting power is just used in the topology control. Assuming the controllable mobility of nodes, we propose four distributed mobility control algorithms assuring the network connectivity and the capacity improvement. We compare the throughput of each algorithm with the widely accepted capacity scale law considering the energy consumption. The proposed mobility-based topology control algorithms are named according to its operational characteristics; RP (Rendezvous Point), NNT (Nearest Neighbor Tracking), DM (Diffusion Model), and GP (Grid Packing). Through extensive simulations, we show that all the proposed algorithms successfully change a partitioned random network topology into a connected network topology without the power control. Furthermore, the topology reconfigured by the mobility control has the improved network capacity beyond that of the initial network. In the newly defined performance metric, effective capacity, the simulation results show that GP provides more improved and stable performance over various node densities with the short completion time.},
keywords={},
doi={10.1587/transcom.E93.B.1443},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Mobility-Based Topology Control for Wireless Ad Hoc Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1443
EP - 1450
AU - Jae-Young SEOL
AU - Seong-Lyun KIM
PY - 2010
DO - 10.1587/transcom.E93.B.1443
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2010
AB - The mobility control of mobile nodes can be an alternative to the transmitting power adjustment in case that fixed transmitting power is just used in the topology control. Assuming the controllable mobility of nodes, we propose four distributed mobility control algorithms assuring the network connectivity and the capacity improvement. We compare the throughput of each algorithm with the widely accepted capacity scale law considering the energy consumption. The proposed mobility-based topology control algorithms are named according to its operational characteristics; RP (Rendezvous Point), NNT (Nearest Neighbor Tracking), DM (Diffusion Model), and GP (Grid Packing). Through extensive simulations, we show that all the proposed algorithms successfully change a partitioned random network topology into a connected network topology without the power control. Furthermore, the topology reconfigured by the mobility control has the improved network capacity beyond that of the initial network. In the newly defined performance metric, effective capacity, the simulation results show that GP provides more improved and stable performance over various node densities with the short completion time.
ER -