A system design framework for scalability analysis of geographic routing algorithms in large-scale mesh networks

2012 ◽  
Author(s):  
Christian Müller ◽  
Sebastian Šubik ◽  
Andreas Wolff ◽  
Christian Wietfeld
Keyword(s):  
System Design ◽  
Large Scale ◽  
Mesh Networks ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Design Framework ◽  
Scalability Analysis

scholarly journals Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

2021 ◽  
Author(s):  
Khanh-Van Nguyen ◽  
Chi-Hieu Nguyen ◽  
Phi Le Nguyen ◽  
Tien Van Do ◽  
Imrich Chlamtac
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Geographic Routing ◽  
Routing Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing ◽  
Routing Schemes ◽  
Routing Scheme ◽  
Effective Manner

AbstractA quest for geographic routing schemes of wireless sensor networks when sensor nodes are deployed in areas with obstacles has resulted in numerous ingenious proposals and techniques. However, there is a lack of solutions for complicated cases wherein the source or the sink nodes are located close to a specific hole, especially in cavern-like regions of large complex-shaped holes. In this paper, we propose a geographic routing scheme to deal with the existence of complicated-shape holes in an effective manner. Our proposed routing scheme achieves routes around holes with the (1+$$\epsilon$$ ϵ )-stretch. Experimental results show that our routing scheme yields the highest load balancing and the most extended network lifetime compared to other well-known routing algorithms as well.

scholarly journals A Stackelberg-Game-Based Power Control Algorithm for Wireless Mesh Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Yanbing Liu ◽  
Tao Wu ◽  
Jun Huang ◽  
Shousheng Jia
Keyword(s):  
Power Control ◽  
Wireless Mesh Networks ◽  
Control Algorithm ◽  
Large Scale ◽  
Mesh Networks ◽  
Stackelberg Game ◽  
Noncooperative Game ◽  
Destination Node ◽  
Wireless Mesh ◽  
Power Control Algorithm

Wireless mesh networks (WMNs) are a promising networking paradigm for next generation wireless networking system. Power control plays a vital role in WMNs and is realized to be a crucial step toward large-scale WMNs deployment. In this paper, we address the problem of how to allocate the power for both optimizing quality of service (QoS) and saving the power consumption in WMNs based on the game theory. We first formulate the problem as a noncooperative game, in which the QoS attributes and the power of each node are defined as a utility function, and all the nodes attempt to maximize their own utility. In such game, we correlate all the interfering nodes to be an interfering object and the receiving node to be the interfering object's virtual destination node. We then present an equilibrium solution for the noncooperative game using Stackelberg model, and we propose an iterative, distributed power control algorithm for WMNs. Also, we conduct numeric experiments to evaluate the system performance, our results show that the proposed algorithm can balance nodes to share the limited network resources and maximize total utility, and thus it is efficient and effective for solving the power control problem in WMNs.

scholarly journals Large Scale Environmental Monitoring through Integration of Sensor and Mesh Networks

Sensors ◽  
2008 ◽  
Vol 8 (11) ◽  
pp. 7493-7517 ◽  
Author(s):  
Raja Jurdak ◽  
Abdelhamid Nafaa ◽  
Alessio Barbirato
Keyword(s):  
Environmental Monitoring ◽  
Large Scale ◽  
Mesh Networks

Supporting Negotiations in the Early Stage of Large-Scale Mechanical System Design

2005 ◽  
Vol 127 (6) ◽  
pp. 1056 ◽  
Author(s):  
Ping Ge ◽  
Stephen C.-Y. Lu ◽  
Satish T.S. Bukkapatnam
Keyword(s):  
System Design ◽  
Mechanical System ◽  
Large Scale ◽  
Early Stage

Evaluation of Fuel Preparation Systems for Lean Premixing-Prevaporizing Combustors

1986 ◽  
Vol 108 (2) ◽  
pp. 391-395
Author(s):  
W. J. Dodds ◽  
E. E. Ekstedt
Keyword(s):  
System Design ◽  
Large Scale ◽  
Fuel Injection ◽  
Operating Conditions ◽  
Turbine Engine ◽  
Fuel Injectors ◽  
Design Concepts ◽  
Mixture Preparation ◽  
Design Variables ◽  
System Length

A series of tests was conducted to provide data for the design of premixing-prevaporizing fuel-air mixture preparation systems for aircraft gas turbine engine combustors. Fifteen configurations of four different fuel-air mixture preparation system design concepts were evaluated to determine fuel-air mixture uniformity at the system exit over a range of conditions representative of cruise operation for a modern commercial turbofan engine. Operating conditions, including pressure, temperature, fuel-air ratio, and velocity had no clear effect on mixture uniformity in systems which used low-pressure fuel injectors. However, performance of systems using pressure atomizing fuel nozzles and large-scale mixing devices was shown to be sensitive to operating conditions. Variations in system design variables were also evaluated and correlated. Mixture uniformity improved with increased system length, pressure drop, and number of fuel injection points per unit area. A premixing system compatible with the combustor envelope of a typical combustion system and capable of providing mixture nonuniformity (standard deviation/mean) below 15% over a typical range of cruise operating conditions was demonstrated.

scholarly journals Design Thinking for Computer-Aided Co-Design in Architecture and Urban Design

2021 ◽  
Author(s):  
Shuva Chowdhury
Keyword(s):  
System Design ◽  
Product Design ◽  
Urban Design ◽  
Design Thinking ◽  
Communication Media ◽  
Design Framework ◽  
Design Communication ◽  
Design Task ◽  
Virtual Tools ◽  
Computer Aided

Bringing the designer’s concept to the non-design expert’s communicative level requires a significant understanding of the communication media. Primarily the design communication depends on the type of the tools used. Virtual tools with their pre-set operability limit the designer’s ways of interaction with the artefacts. This article proposes a framework for designers to interact with non-design experts through an enhanced communicative media. The design framework indicates steps of design thinking to develop the interface by understanding both the virtual artefacts’ perceptual affordance to the users and the design task. The paper discusses about projects tested in three different scenarios, urban design, architecture, and product design. It concludes with the arguments on designers’ role as authors of the system design.

scholarly journals Biased Information Passing Between Subsystems Over Time in Complex System Design

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Jesse Austin-Breneman ◽  
Bo Yang Yu ◽  
Maria C. Yang
Keyword(s):  
Complex System ◽  
System Design ◽  
Large Scale ◽  
Early Stage ◽  
Systems Design ◽  
System Level ◽  
Worst Case ◽  
Early Stage Design ◽  
Complex System Design ◽  
Biased Information

During the early stage design of large-scale engineering systems, design teams are challenged to balance a complex set of considerations. The established structured approaches for optimizing complex system designs offer strategies for achieving optimal solutions, but in practice suboptimal system-level results are often reached due to factors such as satisficing, ill-defined problems, or other project constraints. Twelve subsystem and system-level practitioners at a large aerospace organization were interviewed to understand the ways in which they integrate subsystems in their own work. Responses showed subsystem team members often presented conservative, worst-case scenarios to other subsystems when negotiating a tradeoff as a way of hedging against their own future needs. This practice of biased information passing, referred to informally by the practitioners as adding “margins,” is modeled in this paper with a series of optimization simulations. Three “bias” conditions were tested: no bias, a constant bias, and a bias which decreases with time. Results from the simulations show that biased information passing negatively affects both the number of iterations needed and the Pareto optimality of system-level solutions. Results are also compared to the interview responses and highlight several themes with respect to complex system design practice.

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