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where Pk is the power level of node k at timeslot n, Gij is the path loss factor of link (i, j), is the ambient noise power level, and is the SIR requirement. It means that when adding one link into the scheduled link set, all selected links will compute their minimum necessary power level again. A New link would be admitted if and only if all the power levels of scheduled links don t exceed the maximum power level Pmax . The joint routing and scheduling algorithm is based on the Bellman Ford algorithm, and the link metric is de ned as D(i, j) = d Qij Qmax +e Rij Rmax



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Since World War II several types of SE processes have evolved. Organizations such as the US Department of Defense (DoD), the Institute of Electrical and Electronic Engineers (IEEE), Electronics Industries Alliance (EIA), and the International Council of System Engineers (INCOSE) have documented a series of SE process methodologies. The more recent publications include US Army FM 770-78, Mil-Std-499, commercial standards IEEE 1220-1998, EIA-632 and ISO/IEC 15288. Each of these SE process methodologies highlights the aspects its developers considered fundamental to engineering practice. Although the SE processes noted above advanced the state of the practice in SE, in the author s opinion, no single SE process captures the actual steps performed in engineering a system, product, or service. As is the case with a recipe, SEs and organizations often formulate their own variations of how they view the SE process based on what works for them. This chapter introduces an SE Process Model validated through the experiences of the author and others. Note the two terms: process and model. In this chapter s Introduction, we considered a general work ow progression that translates a User s abstract operational needs into a physical system, product, or service solution. We can state this progression to be a process. However, the work ow process steps required to engineer systems must involve highly iterative feedback loops to preceding steps for reconciliation actions. The SE Process is more than simply a sequential end-to-end process. The SE Process is an embedded element of a problem-solving/solution-development model that transforms a set of inputs and operating constraints into a deliverable system, product, or service. Therefore, we apply the label SE Process Model.





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Entry criteria for the SE process are established by the system/product life cycle phase that implements the SE Process. In the case of the System Development Phase, the SE Process Model is applied with the initiation of each entity or con guration item (CI s) SE design. This includes the SYSTEM, PRODUCT, SUBSYSTEM, ASSEMBLY, SUBASSEMBLY, and PART levels.

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where Qij is the queue size of link (i, j), and Rij is the distance between node i and j. d and e are constants satisfying d + e = 1. The rst term is the queue size, encouraging the usage of less congested links, hence alleviating congestion. The second term is related to energy consumption, encouraging transmission over short distance. Simulation results show that this joint design can improve the network performance compared with only joint scheduling and power control algorithm, and they also show that there is a tradeoff between the network performance and energy consumption. However, the joint algorithms are centralized, and they are hard to be implemented in wireless ad hoc networks. 11.4.3 Open Issues Transmission power control can affect the MAC layer, network layer, and transport layer in several ways; hence, it is a prototypical cross-layer design in wireless multihop

Core Techniques: Joint Application Design Process Mapping Deliverables: 1. Business goal for system to accomplish 2. System performance requirements 3. Conceptual system design 4. Project objectives 5. Cost/benefit analysis 6. Detailed plan and budget for DESIGN phase

We concluded Part I with an introduction to the system solution domains, consisting of Requirements, Operations, Behavioral, and Physical Domain Solutions. Although the domain solutions provide a useful means to characterize a system or one of its entities, individually, they do not help us create the total system solution. So, how do we do this We can solve this challenge by creating a system development model that enables us to translate the User s vision into a preferred solution. However, the domain solutions are missing two key elements: 1. Understanding the opportunity/problem space and the relationship of the solution space. 2. Optimizing the domain solutions to achieve mission objectives.

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