Interference-Based Topology Control Algorithm for Delay-Constrained Mobile Ad Hoc Networks

Zhang, Xin Ming; Zhang, Yue; Yan, Fan; Vasilakos, Athanasios V.

doi:10.1109/tmc.2014.2331966

Cited by 205 publications

(72 citation statements)

References 25 publications

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“…Zhang et.al proposed an interference based topology control algorithm for delay constrained mobile ad hoc networks. Firstly, minimized the power consumption and at the same time satisfying the interference constraint and then transmission power is increased to meet the delay constraint [28]. MAC protocols are proposed for dynamic channel allocation and cooperative load balancing to improve bandwidth efficiency under non uniform load conditions [29].…”

Section: T R a N S A C T I O N S O N N E T W O R K S A N D C O M M U mentioning

confidence: 99%

Bandwidth Constrained Multipath Routing Protocol for QoS Provision in MANETs

Balhara

Bhardwaj

2017

TNC

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Mobile Ad hoc NETworks (MANETs) are composed of mobile nodes with limited resources and unpredictable node movement. With the on-going evolution in MANETs, provision of Quality of Service (QoS) has become a challenging task. In this paper, a node disjoint Bandwidth Constrained Multipath Routing (BCMR) protocol is proposed which considers bandwidth as the key factor to discover multiple paths for QoS provisioning. BCMR accommodates required bandwidth function in flooding route request packets. Extensive simulation study is carried out to investigate the performance of BCMR. Simulation results reveal that BCMR significantly reduces overheads, minimizes overall end to end delay and significantly improves packet delivery ratio.

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Section: T R a N S A C T I O N S O N N E T W O R K S A N D C O M M U mentioning

confidence: 99%

Bandwidth Constrained Multipath Routing Protocol for QoS Provision in MANETs

Balhara

Bhardwaj

2017

TNC

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“…Most recent studies of the wireless sensor network (WSN) area focus on energy consumed by wireless sensors [10][11][12][13][14][15]. Especially, neighbor discovery has been actively studied for over a decade since the research of WSN began.…”

Section: Neighbor Discovery Protocolmentioning

confidence: 99%

Understanding people with human activities and social interactions for human-centered computing

Choi

2016

Hum. Cent. Comput. Inf. Sci.

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Computing technology has changed a lot of things in the world quickly. It is still affecting the way we think, the way we communicate with each other, the way we study, the way we work, and so on. Furthermore, computer hardware and software keep evolving every day and new paradigms and mechanisms continuously emerge into the world. There is no doubt that the main purpose of these technologies make human beings and our daily life convenient. In other word, the center of computing is all mankind.However, the main purpose of computing technology may not be human beings. Artificial intelligence (AI) could be one of the promising computing technologies in the future. Many AI researchers hope that this technology will help and assist people effectively and efficiently. In addition, they believe that AI dramatically change our life in the near future. Unfortunately, all of the change are not always positive. Rapid and frequent changing of computing technologies could be difficult to use especially for elderly people. Furthermore, it is well known that innovative AI technology could give people a great fear. Some famous movies dealing with AI issues reflected this phenomenon. In addition, there was the fight of the century to play game Go between an AI Go player (AlphaGo) and a professional human Go player in March, 2016. AlphaGo finally defeated the human Go player at that game. It is definitely possible that the result of the game surprised and frightened all of the people in the world. AbstractAn ultimate goal of human-centered computing is making human beings the center of computing technologies. To make people a core component of the technology, first of all, we need to understand people and society in which people live. In this paper, we propose two important factors in order to understand people and their social interactions. Proposed human activity recognition and neighbor discovery schemes help us comprehend human activities and their social behaviors. In addition, combination of these two mechanisms provide us with an opportunity for better understanding of people in the near future. Finally, it might be worth analyzing correlation between human activities and social interactions for the group of people using our proposed schemes.

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“…Typically, topology control algorithms can be categorized by preserving 1-connectivity and kconnectivity, respectively. For preserving 1-connectivity, current works mainly focused on prolonging network lifetime and increasing network capacity, without considering topology fault-tolerance [2][3][4][5][6][7][8][9][10][11]25]. To achieve fault-tolerance, algorithms that construct k-connected topologies have been proposed [12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…The connectivity-preserving topology control aims to maintain network connectivity via smaller nodal transmit powers. There also exist algorithms concerning the trade-off between energy conservation and network connectivity [2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

Bao

Deng

2016

J Wireless Com Network

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K-connectivity-based topology control can improve fault-tolerant performance of multi-hop wireless networks. Existing algorithms mainly focused on preserving the same k-connectivity between any two nodes. However, in practical network deployments, the algorithms enforcing k-connectivity degrade network performance, when the topology requires heterogeneous nodal fault-tolerant requirements. In this paper, we aim to develop interferenceaware topology control based on the different k ij connectivities between any two nodes and propose a fault-toleranceand-interference-aware topology control (FICTC) algorithm. It can be proved that FICTC can meet different fault-tolerant requirements between any two nodes, and is the optimum solution for min-max network interference. Simulation results show that FICTC not only leads to weaker interference, but also achieves higher throughput and lower end-to-end (E2E) delay than existing fault-tolerant topology control schemes.

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Interference-Based Topology Control Algorithm for Delay-Constrained Mobile Ad Hoc Networks

Cited by 205 publications

References 25 publications

Bandwidth Constrained Multipath Routing Protocol for QoS Provision in MANETs

Bandwidth Constrained Multipath Routing Protocol for QoS Provision in MANETs

Understanding people with human activities and social interactions for human-centered computing

FICTC: fault-tolerance-and-interference-aware topology control for wireless multi-hop networks

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