The Experts below are selected from a list of 155505 Experts worldwide ranked by ideXlab platform

Rolando Menchaca-méndez - One of the best experts on this subject based on the ideXlab platform.

  • Performance Analysis of Cluster Formation in Wireless Sensor Networks
    Sensors, 2017
    Co-Authors: Edgar Romo Montiel, Mario Rivero-angeles, Gerardo Rubino, Heron Molina-lozano, Rolando Menchaca-méndez
    Abstract:

    Clustered-based wireless sensor networks have been extensively used in the literature in order to achieve considerable energy consumption reductions. However, two aspects of such systems have been largely overlooked. Namely, the transmission probability used during the Cluster Formation phase and the way in which Cluster heads are selected. Both of these issues have an important impact on the performance of the system. For the former, it is common to consider that sensor nodes in a Clustered-based Wireless Sensor Network (WSN) use a fixed transmission probability to send control data in order to build the Clusters. However, due to the highly variable conditions experienced by these networks, a fixed transmission probability may lead to extra energy consumption. In view of this, three different transmission probability strategies are studied: optimal, fixed and adaptive. In this context, we also investigate Cluster head selection schemes, specifically, we consider two intelligent schemes based on the fuzzy C-means and k-medoids algorithms and a random selection with no intelligence. We show that the use of intelligent schemes greatly improves the performance of the system, but their use entails higher complexity and selection delay. The main performance metrics considered in this work are energy consumption , successful transmission probability and Cluster Formation latency. As an additional feature of this work, we study the effect of errors in the wireless channel and the impact on the performance of the system under the different transmission probability schemes.

Cliff Wang - One of the best experts on this subject based on the ideXlab platform.

  • secure distributed Cluster Formation in wireless sensor networks
    Annual Computer Security Applications Conference, 2006
    Co-Authors: Kun Sun, Pai Peng, Peng Ning, Cliff Wang
    Abstract:

    In wireless sensor networks, Clustering sensor nodes into small groups is an effective technique to achieve scalability, self-organization, power saving, channel access, routing, etc. A number of Cluster Formation protocols have been proposed recently. However, most existing protocols assume benign environments, and are vulnerable to attacks from malicious nodes. In this paper, we propose a secure distributed Cluster Formation protocol to organize sensor networks into mutually disjoint cliques. Our protocol has the following properties: (1) normal nodes are divided into mutually disjoint cliques; (2) all the normal nodes in each clique agree on the same clique memberships; (3) while external attackers can be prevented from participating in the Cluster Formation process, inside attackers that do not follow the protocol semantics can be identified and removed from the network; (4) the communication overhead is moderate; (5) the protocol is fully distributed.

  • ACSAC - Secure Distributed Cluster Formation in Wireless Sensor Networks
    2006 22nd Annual Computer Security Applications Conference (ACSAC'06), 2006
    Co-Authors: Kun Sun, Pai Peng, Peng Ning, Cliff Wang
    Abstract:

    In wireless sensor networks, Clustering sensor nodes into small groups is an effective technique to achieve scalability, self-organization, power saving, channel access, routing, etc. A number of Cluster Formation protocols have been proposed recently. However, most existing protocols assume benign environments, and are vulnerable to attacks from malicious nodes. In this paper, we propose a secure distributed Cluster Formation protocol to organize sensor networks into mutually disjoint cliques. Our protocol has the following properties: (1) normal nodes are divided into mutually disjoint cliques; (2) all the normal nodes in each clique agree on the same clique memberships; (3) while external attackers can be prevented from participating in the Cluster Formation process, inside attackers that do not follow the protocol semantics can be identified and removed from the network; (4) the communication overhead is moderate; (5) the protocol is fully distributed.

Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • users first user centric Cluster Formation for interference mitigation in visible light networks
    IEEE Transactions on Wireless Communications, 2016
    Co-Authors: Fan Jin, Rong Zhang, Jiaheng Wang, Lajos Hanzo
    Abstract:

    Visible light communication (VLC) combined with advanced illumination may be expected to become an integral part of next-generation heterogeneous networks. In order to mitigate the performance degradation imposed by the intercell-interference (ICI), a user-centric (UC) Cluster Formation technique employing vectored transmission (VT) is proposed for the VLC down-link system, where multiple users may be simultaneously supported by multiple access points (APs). In contrast to the traditional network-centric (NC) design, the UC-VT Cluster Formation is dynamically constructed and adjusted, rather than remaining static. Furthermore, we consider the critical issue of multiuser scheduling (MUS) relying on maximizing the “sum utility” of this system, which leads to a joint Cluster Formation and MUS problem. In order to find a practical solution, the original problem is reformulated as a maximum weighted matching (MWM) problem relying on a user-AP distance-based weight and then a low-complexity greedy algorithm is proposed, which offers a suboptimal yet compelling solution operating close to the optimal value found by the potentially excessive-complexity exhaustive search. Our simulation results demonstrate that the proposed greedy MUS algorithm combined with the UC-VT Cluster Formation is capable of providing an average user throughput of about 90% of the optimal throughput, which is about three times the throughput provided by the traditional cellular design in some of the scenarios considered.

Kun Sun - One of the best experts on this subject based on the ideXlab platform.

  • secure distributed Cluster Formation in wireless sensor networks
    Annual Computer Security Applications Conference, 2006
    Co-Authors: Kun Sun, Pai Peng, Peng Ning, Cliff Wang
    Abstract:

    In wireless sensor networks, Clustering sensor nodes into small groups is an effective technique to achieve scalability, self-organization, power saving, channel access, routing, etc. A number of Cluster Formation protocols have been proposed recently. However, most existing protocols assume benign environments, and are vulnerable to attacks from malicious nodes. In this paper, we propose a secure distributed Cluster Formation protocol to organize sensor networks into mutually disjoint cliques. Our protocol has the following properties: (1) normal nodes are divided into mutually disjoint cliques; (2) all the normal nodes in each clique agree on the same clique memberships; (3) while external attackers can be prevented from participating in the Cluster Formation process, inside attackers that do not follow the protocol semantics can be identified and removed from the network; (4) the communication overhead is moderate; (5) the protocol is fully distributed.

  • ACSAC - Secure Distributed Cluster Formation in Wireless Sensor Networks
    2006 22nd Annual Computer Security Applications Conference (ACSAC'06), 2006
    Co-Authors: Kun Sun, Pai Peng, Peng Ning, Cliff Wang
    Abstract:

    In wireless sensor networks, Clustering sensor nodes into small groups is an effective technique to achieve scalability, self-organization, power saving, channel access, routing, etc. A number of Cluster Formation protocols have been proposed recently. However, most existing protocols assume benign environments, and are vulnerable to attacks from malicious nodes. In this paper, we propose a secure distributed Cluster Formation protocol to organize sensor networks into mutually disjoint cliques. Our protocol has the following properties: (1) normal nodes are divided into mutually disjoint cliques; (2) all the normal nodes in each clique agree on the same clique memberships; (3) while external attackers can be prevented from participating in the Cluster Formation process, inside attackers that do not follow the protocol semantics can be identified and removed from the network; (4) the communication overhead is moderate; (5) the protocol is fully distributed.

Edgar Romo Montiel - One of the best experts on this subject based on the ideXlab platform.

  • Performance Analysis of Cluster Formation in Wireless Sensor Networks
    Sensors, 2017
    Co-Authors: Edgar Romo Montiel, Mario Rivero-angeles, Gerardo Rubino, Heron Molina-lozano, Rolando Menchaca-méndez
    Abstract:

    Clustered-based wireless sensor networks have been extensively used in the literature in order to achieve considerable energy consumption reductions. However, two aspects of such systems have been largely overlooked. Namely, the transmission probability used during the Cluster Formation phase and the way in which Cluster heads are selected. Both of these issues have an important impact on the performance of the system. For the former, it is common to consider that sensor nodes in a Clustered-based Wireless Sensor Network (WSN) use a fixed transmission probability to send control data in order to build the Clusters. However, due to the highly variable conditions experienced by these networks, a fixed transmission probability may lead to extra energy consumption. In view of this, three different transmission probability strategies are studied: optimal, fixed and adaptive. In this context, we also investigate Cluster head selection schemes, specifically, we consider two intelligent schemes based on the fuzzy C-means and k-medoids algorithms and a random selection with no intelligence. We show that the use of intelligent schemes greatly improves the performance of the system, but their use entails higher complexity and selection delay. The main performance metrics considered in this work are energy consumption , successful transmission probability and Cluster Formation latency. As an additional feature of this work, we study the effect of errors in the wireless channel and the impact on the performance of the system under the different transmission probability schemes.