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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 참여 노드의 잔여 배터리 에너지와 라우팅 비용을 모두 고려하여 MANET(Mobile Ad Hoc Network)의 유효 수명을 연장하기 위한 새로운 라우팅 접근 방식을 제시합니다. Ad Hoc 네트워크의 노드는 전력이 제한되어 있으므로 노드에 메시지를 보내거나 받거나 전달할 수 있는 남은 에너지가 부족하면 정전이 발생합니다. 따라서 에너지 소비를 최소화하는 동시에 노드 간 배터리 잔량의 균형을 맞추는 것이 중요합니다. 비용 효율적인 라우팅 알고리즘은 패킷을 전송하는 데 필요한 총 전력을 최소화하려고 시도합니다. 이로 인해 많은 수의 노드가 에너지를 빠르게 소모하고 죽게 됩니다. 반면, 수명 예측 기반 라우팅 알고리즘은 네트워크의 노드 간에 남은 에너지의 균형을 맞추고 전송 비용을 무시하려고 합니다. 이러한 접근 방식은 처음 몇 개의 개별 노드의 수명을 연장합니다. 그러나 노드가 패킷 전송에 더 많은 에너지를 소비할수록 짧은 간격 내에 정전이 발생하여 총 데드 노드 수가 더 일찍 발생합니다. 이 단계에서는 전달 노드가 부족하여 성공적인 통신이 불가능하므로 네트워크의 유효 수명이 단축됩니다. 제안된 방법은 전송 전력을 적당한 범위로 유지하는 동시에 노드의 잔류 에너지의 변화를 보다 효과적으로 줄여 장기적으로 네트워크의 가장 높은 유효 수명을 얻으려고 시도합니다. 그럼에도 불구하고, 노드의 이동은 링크 단절 및 링크 생성을 통해 네트워크 토폴로지 변경을 발생시키는 경우가 많아 네트워크 안정성에 영향을 미치게 됩니다. 따라서 노드 이동 패턴도 경로 선택 절차에 포함됩니다.
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부
M. Julius HOSSAIN, M. Ali Akber DEWAN, Oksam CHAE, "Maximizing the Effective Lifetime of Mobile Ad Hoc Networks" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 2818-2827, September 2008, doi: 10.1093/ietcom/e91-b.9.2818.
Abstract: This paper presents a new routing approach to extend the effective lifetime of mobile ad hoc networks (MANET) considering both residual battery energy of the participating nodes and routing cost. As the nodes in ad hoc networks are limited in power, a power failure occurs if a node has insufficient remaining energy to send, receive or forward a message. So, it is important to minimize the energy expenditure as well as to balance the remaining battery power among the nodes. Cost effective routing algorithms attempt to minimize the total power needed to transmit a packet which causes a large number of nodes to loose energy quickly and die. On the other hand, lifetime prediction based routing algorithms try to balance the remaining energies among the nodes in the networks and ignore the transmission cost. These approaches extend the lifetime of first few individual nodes. But as nodes spend more energy for packet transfer, power failures occurs within short interval resulting more number of total dead node earlier. This reduces the effective lifetime of the network, as at this stage successful communication is not possible due to the lack of forwarding node. The proposed method keeps the transmission power in modest range and at the same time tries to reduce the variance of the residual energy of the nodes more effectively to obtain the highest useful lifetime of the networks in the long run. Nonetheless, movement of nodes frequently creates network topology changes via link breaks and link creation and thus effects on the stability of the network. So, the pattern of the node movement is also incorporated in our route selection procedure.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.2818/_p
부
@ARTICLE{e91-b_9_2818,
author={M. Julius HOSSAIN, M. Ali Akber DEWAN, Oksam CHAE, },
journal={IEICE TRANSACTIONS on Communications},
title={Maximizing the Effective Lifetime of Mobile Ad Hoc Networks},
year={2008},
volume={E91-B},
number={9},
pages={2818-2827},
abstract={This paper presents a new routing approach to extend the effective lifetime of mobile ad hoc networks (MANET) considering both residual battery energy of the participating nodes and routing cost. As the nodes in ad hoc networks are limited in power, a power failure occurs if a node has insufficient remaining energy to send, receive or forward a message. So, it is important to minimize the energy expenditure as well as to balance the remaining battery power among the nodes. Cost effective routing algorithms attempt to minimize the total power needed to transmit a packet which causes a large number of nodes to loose energy quickly and die. On the other hand, lifetime prediction based routing algorithms try to balance the remaining energies among the nodes in the networks and ignore the transmission cost. These approaches extend the lifetime of first few individual nodes. But as nodes spend more energy for packet transfer, power failures occurs within short interval resulting more number of total dead node earlier. This reduces the effective lifetime of the network, as at this stage successful communication is not possible due to the lack of forwarding node. The proposed method keeps the transmission power in modest range and at the same time tries to reduce the variance of the residual energy of the nodes more effectively to obtain the highest useful lifetime of the networks in the long run. Nonetheless, movement of nodes frequently creates network topology changes via link breaks and link creation and thus effects on the stability of the network. So, the pattern of the node movement is also incorporated in our route selection procedure.},
keywords={},
doi={10.1093/ietcom/e91-b.9.2818},
ISSN={1745-1345},
month={September},}
부
TY - JOUR
TI - Maximizing the Effective Lifetime of Mobile Ad Hoc Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2818
EP - 2827
AU - M. Julius HOSSAIN
AU - M. Ali Akber DEWAN
AU - Oksam CHAE
PY - 2008
DO - 10.1093/ietcom/e91-b.9.2818
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - This paper presents a new routing approach to extend the effective lifetime of mobile ad hoc networks (MANET) considering both residual battery energy of the participating nodes and routing cost. As the nodes in ad hoc networks are limited in power, a power failure occurs if a node has insufficient remaining energy to send, receive or forward a message. So, it is important to minimize the energy expenditure as well as to balance the remaining battery power among the nodes. Cost effective routing algorithms attempt to minimize the total power needed to transmit a packet which causes a large number of nodes to loose energy quickly and die. On the other hand, lifetime prediction based routing algorithms try to balance the remaining energies among the nodes in the networks and ignore the transmission cost. These approaches extend the lifetime of first few individual nodes. But as nodes spend more energy for packet transfer, power failures occurs within short interval resulting more number of total dead node earlier. This reduces the effective lifetime of the network, as at this stage successful communication is not possible due to the lack of forwarding node. The proposed method keeps the transmission power in modest range and at the same time tries to reduce the variance of the residual energy of the nodes more effectively to obtain the highest useful lifetime of the networks in the long run. Nonetheless, movement of nodes frequently creates network topology changes via link breaks and link creation and thus effects on the stability of the network. So, the pattern of the node movement is also incorporated in our route selection procedure.
ER -