The hybrid (Optical-Wireless broadband) network with the backbone as optical networks, Passive Optical Networks (PON), and wireless access networks have been proposed to provide good Quality of service (QoS). A Dynamic network solution for adopting both wired and wireless networking methods need to be updated. A Multicast based network coding technique is introduced for improving total network ...

The mobile ad hoc network (MANET) with infrastructure networks (hybrid networks) has several practical uses. The utility of hybrid network is increased in real time applications by providing some suitable quality of service. The quality thresholds are imposed on parameters like end-toend delay (EED), jitter, packet delivery ratio (PDR) and throughput. This paper utilizes the extended ad hoc on-...

Capacity is one fundamental problem in wireless networks. Directional antennas to wireless networks can decrease interference and increase spatial reuse. Thus, it is a great technology to improve throughput capacity of wireless networks. In the paper, the upper and lower bounds of multi-channel hybrid wireless network with antenna supported are investigated. Both simplified antenna model and hy...

We implement a prototype for a 20-GFLOP sonar beamformer with multiple frameworks for parallelism: MPI, Computational Process Networks, and a hybrid of the two. Computational Process Networks is a framework based on the formal Process Network model and Computation Graphs, implemented with lightweight POSIX threads. We benchmark these systems on a Sun Enterprise 4000. On eight UltraSPARC-II proc...

Hybrid Wireless Mesh Networks are a combination of mobile ad hoc networks and infrastructure wireless mesh networks, consisting of two types of nodes: mobile Mesh Clients and static Mesh Routers. Mesh Routers, which are typically equipped with multiple radios, provide a wireless multi-hop backhaul. The resource constrained Mesh Clients also participate in the routing and forwarding of packets t...

Localization in sensor networks is critical for search and rescue. Linear least squares (LLS) estimation is a sub-optimum but low-complexity localization algorithm based on measurements of location-related parameters. Commonly, there are two types of LLS localization algorithms using range measurements; one is based on introducing a dummy variable (called LLS-I), and the other is based on the s...

This paper describes techniques for integrating neural networks and symbolic components into powerful hybrid systems. Neural networks have unique processing characteristics that enable tasks to be performed that would be di cult or intractable for a symbolic rule-based system. However, a stand-alone neural network requires an interpretation either by a human or a rulebased system. This motivate...

This paper presents a theory of hybrid anticipatory networks that generalizes earlier models of consequence anticipation in multicriteria decision problems. We assume that the decision maker takes into account the anticipated outcomes of future decision problems linked by the causal relations with the present decision problem. This can be represented by a multigraph, where decision problems are...