• Title/Summary/Keyword: Tree Networks

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Clipping Value Estimate for Iterative Tree Search Detection

  • Zheng, Jianping;Bai, Baoming;Li, Ying
    • Journal of Communications and Networks
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    • v.12 no.5
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    • pp.475-479
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    • 2010
  • The clipping value, defined as the log-likelihood ratio (LLR) in the case wherein all the list of candidates have the same binary value, is investigated, and an effective method to estimate it is presented for iterative tree search detection. The basic principle behind the method is that the clipping value of a channel bit is equal to the LLR of the maximum probability of correct decision of the bit to the corresponding probability of erroneous decision. In conjunction with multilevel bit mappings, the clipping value can be calculated with the parameters of the number of transmit antennas, $N_t$; number of bits per constellation point, $M_c$; and variance of the channel noise, $\sigma^2$, per real dimension in the Rayleigh fading channel. Analyses and simulations show that the bit error performance of the proposed method is better than that of the conventional fixed-value method.

Self-healing Method for Data Aggregation Tree in Wireless Sensor Networks (무선센서네트워크에서 데이터 병합 트리를 위한 자기치유 방법)

  • Le, Duc Tai;Duc, Thang Le;Yeom, Sanggil;Zalyubovskiy, Vyacheslav V.;Choo, Hyunseung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.212-213
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    • 2015
  • Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. On constructing a robust algorithm for minimizing data aggregation delay in wireless sensor networks, we consider limited transmission range sensors and approximate the minimum-delay data aggregation tree which can only be built in networks of unlimited transmission range sensors. The paper proposes an adaptive method that can be applied to maintain the network structure in case of a sensor node fails. The data aggregation tree built by the proposed scheme is therefore self-healing and robust. Intensive simulations are carried out and the results show that the scheme could adapt well to network topology changes compared with other approaches.

A Tree based Channel Assignment Protocol for Considering the Performance Anomaly in IEEE 802.11 Wireless Mesh Networks (IEEE 802.11 무선 메쉬 네트워크에서의 성능 이상 현상 고려를 위한 트리 기반 채널 할당 프로토콜)

  • Kim, Sok-Hyong;Kim, Dong-Wook;Suh, Young-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.3
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    • pp.341-345
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    • 2010
  • WMN is one of efficient solutions to provide Internet services for users by forming wireless backbone networks with wireless links. The dominant technology for WMNs is the IEEE 802.11, which provides multi-channel and multi-rate capabilities. One of important issues in WMNs is the network capacity and it is essential to design a multi-channel protocol that leverages the network capacity. However, when wireless links that use different data rates operate on the common channel, the performance of high-rate links is severely degraded by the presence of the low-rate links, which is often referred as performance anomaly. In this paper, we propose a Tree-based Channel Assignment (TreeCA) protocol to mitigate the performance anomaly problem by distributing data rates over multiple channels. TreeCA performs channel assignments based on the tree WMN architecture to accommodate the Internet traffics efficiently. Parent nodes on the tree distribute their child nodes over multiple channels so that the performance anomaly is reduced. Through simulations, we observed that the proposed TreeCA outperforms the existing multi-channel protocols for WMNs.

Dynamic Extension of Genetic Tree Maps (유전 목 지도의 동적 확장)

  • Ha, seong-Wook;Kwon, Kee-Hang;Kang, Dae-Seong
    • Journal of KIISE:Software and Applications
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    • v.29 no.6
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    • pp.386-395
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    • 2002
  • In this paper, we suggest dynamic genetic tree-maps(DGTM) using optimal features on recognizing data. The DGTM uses the genetic algorithm about the importance of features rarely considerable on conventional neural networks and introduces GTM(genetic tree-maps) using tree structure according of the priority of features. Hence, we propose the extended formula, DGTM(dynamic GTM) has dynamic functions to separate and merge the neuron of neural network along the similarity of features.

Internet Multicast Routing Protocol Model using MPLS Networks (MPLS망을 이용한 인터넷 멀티캐스트 라우팅 프로토콜 모델)

  • Kim, Young-Jun
    • The KIPS Transactions:PartC
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    • v.10C no.1
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    • pp.77-86
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    • 2003
  • This paper describes the new method for Internet multicast routing protocols using MPLS (Multiprotocol Label Switching) networks. Internet multicast routing protocols are divided into three categories in terms if tree types and tree characteristics : a shortest path tree a shared tree and hybrid tree types. MPLS should support various multicast mechanisms because of extremely different IP multicast architectures, such as uni-/bi-directional link, Flooding/prune tree maintenance mechanism. the existence of different tree types with the same group, etc. There are so many problems over MPLS multicast that the solutions can't be easily figured out. In this Paper, we make a few assumptions on which the solutions of IP multicast routing protocols over MPLS networks are given. A broadcasting label is defined for the shortest path tree types. Cell interleaving problems of the shared tree types is solved by using block-based transmission mechanism. Finally, the existing hybrid-type multicast routing protocol is reasonably modified Shortest Path tree type to support MPLS multicast. It has been shown that these modifications give better performance (transmission delay) than the orignal method.

A New Analysis of Ladder Networks by Weighted Tree (하중나무에 의한 래더 회로망의 새로운 해석 방법)

  • 이주근;이동철
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.19 no.6
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    • pp.1-8
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    • 1982
  • In this paper a new analytic method for Ladder networks by weighted tree is proposed. In contrast to conventional tree concept that represents only information structure, in this paper, a tree with hierarchical structure is established by giving wei체t of impedance Z and admittance Y to branch and representing each node of its branch as a pair of voltage and current. Then, by defining generation level from tree structure and by parsing between standand level and arbitrary level, driving point impedance, transfer function and transfer impedance are simultaneously obtained instead of complex calculation method by inspection. The validity of this method is proved by the reciprocal theorem and this method is applied to four-terminal constants and the feedback network.

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Internet Multicast Routing Protocol Supporting Method over MPLS Networks (MPLS망에서의 인터넷 멀티캐스트 라우팅 프로토콜 지원 방안)

  • 김영준;박용진
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.3
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    • pp.93-103
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    • 2000
  • This paper describes Internet multicast routing protocols over MPLS (Multiprotocol Label Switching) networks. Internet multicast routing protocols are divided into 3 categories in terms of tree types and tree characteristics: a shortest path tree, a shared tree and hybrid tree types. MPLS should support various multicast mechanisms because of extremely different IP multicast architectures, such as uni-/bi-directional link, Flooding/prune tree maintenance mechanism, the existence of different tree types with the same group, etc. There are so many problems over MPLS multicast that the solutions can't be easily figured out. In this paper, we make a few assumptions on which the solutions of IP multicast routing protocols over MPLS networks are given. A broadcasting label is defined for the shortest path tree types. Cell interleaving problems of the shared tree types is solved by using block-based transmission mechanism. Finally, the existing hybrid-type multicast routing protocol is reasonably modified to support MPLS multicast.

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Region Query Reconstruction Method Using Trie-Structured Quad Tree in USN Middleware (USN 미들웨어에서 트라이 구조 쿼드 트리를 이용한 영역 질의 재구성 기법)

  • Cho, Sook-Kyoung;Jeong, Mi-Young;Jung, Hyun-Meen;Kim, Jong-Hoon
    • Journal of Korea Spatial Information System Society
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    • v.10 no.1
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    • pp.15-28
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    • 2008
  • In ubiquitous sensor networks(USN) environment, it is essential to process region query for user-demand services. Using R-tree is a preferred technique to process region query for in-network query environment. In USN environment, USN middleware must select sensors that transfers region query with accuracy because the lifetime of sensors is that of whole sensor networks. When R-tree is used, however, it blindly passes the region query including non-existent sensors where MBR(Minimum Boundary Rectangle) of R-tree is Intersected by region of query. To solve in this problem, we propose a reconstruction of region query method which is a trie-structured Quad tree in the base station that includes sensors in region of query select with accuracy. We observed that the proposed method delays response time than R-tree, but is useful for reducing communication cost and energy consumption.

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Novel Architecture of Self-organized Mobile Wireless Sensor Networks

  • Rizvi, Syed;Karpinski, Kelsey;Razaque, Abdul
    • Journal of Computing Science and Engineering
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    • v.9 no.4
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    • pp.163-176
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    • 2015
  • Self-organization of distributed wireless sensor nodes is a critical issue in wireless sensor networks (WSNs), since each sensor node has limited energy, bandwidth, and scalability. These issues prevent sensor nodes from actively collaborating with the other types of sensor nodes deployed in a typical heterogeneous and somewhat hostile environment. The automated self-organization of a WSN becomes more challenging as the number of sensor nodes increases in the network. In this paper, we propose a dynamic self-organized architecture that combines tree topology with a drawn-grid algorithm to automate the self-organization process for WSNs. In order to make our proposed architecture scalable, we assume that all participating active sensor nodes are unaware of their primary locations. In particular, this paper presents two algorithms called active-tree and drawn-grid. The proposed active-tree algorithm uses a tree topology to assign node IDs and define different roles to each participating sensor node. On the other hand, the drawn-grid algorithm divides the sensor nodes into cells with respect to the radio coverage area and the specific roles assigned by the active-tree algorithm. Thus, both proposed algorithms collaborate with each other to automate the self-organizing process for WSNs. The numerical and simulation results demonstrate that the proposed dynamic architecture performs much better than a static architecture in terms of the self-organization of wireless sensor nodes and energy consumption.

A Slot Scheduling Algorithm for Balancing Power Consumption in Tree-based Sensor Networks (트리 기반 센서네트워크에서 전력 소모 균형을 위한 슬랏 스케쥴링 알고리즘)

  • Kim, Je-Wook;Oh, Roon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.5A
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    • pp.502-510
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    • 2011
  • In this paper, we propose a slot scheduling algorithm for balancing power consumption in tree-based sensor networks. In this type of networks, nodes with lower depths tend to consume more energy than those with higher depths, thereby reducing the life time of the network. The proposed algorithm allocates a series of receiving slots first and then a series of sending slots. This way of slot allocation eases packet aggregation and filtering, and thus reduces traffic load on nodes near a sink. We compare the proposed algorithm and the frame-slot allocation algorithm employed in the TreeMAC by resorting to simulation. The simulation results showed that the proposed approach well achieves the balancing of power consumption.