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In practice, the communication range depends on several factors, including the transmission power, antenna gains, receiver sensitivity, and level of noise The covered area is likely to be an irregular zone rather than a squared area 245 Self-Positioning and Relative Coordinates A distributed algorithm for the positioning of nodes without using any GPS information is described by Capkan et al [19] The Self-Positioning Algorithm (SPA) enables the nodes to nd their positions within the network area using only range measurements between nodes in order to build a network coordinate system Local Coordinate System In the rst phase of the algorithm, each node builds a local coordinate system by becoming the origin (0, 0) while the positions of its neighbors are computed relative to the position of this origin Nodes can subsequently reach agreement on a common, global coordinate system for the entire network.



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PRODUCT BB PRODUCT ICD/IRS ICD/IRS ASSEMBLY B3 ASSEMBLY B3 ICD/IRS ICD/IRS CSCI B31 CSCI B31 SW Requirements Specification (SRS) SW Requirements Specification (SRS) HWCI B31 HWCI B31 HW Requirements Specification (HRS) HW Requirements Specification (HRS)

The Conceptual System Design The conceptual system design literally embodies the strategy the CIO uses to create the system Whenever possible, good conceptual designs build on systems and procedures already in place The conceptual design is the highlevel outline of a system..

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For each node u, let N(u) be the set of its one-hop neighbors and let D(u) be the set of all distances of u from all its hop-one neighbors v N(u) Neighbors can be detected and distances can be measured using radio-location Each node u sends its neighbor N(u) and distance D(u) sets to all its one-hop neighbors At the end of this exchange, every node will know its two-hop neighbors as well as some of the distances between its one-hop and two-hop neighbors The coordinates at u can be de ned as follows Node u selects two nodes p, q in its one-hop neighborhood N(u) in such a way that u, p, q are not collinear and d(p, q) is known (this means that we have either p N(q) or q N(p)) and > 0 As depicted in Figure 2.

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People often mistakenly develop the speci cation tree as an independent activity unrelated to the system architecture and contract work breakdown structure (CWBS). This is a serious error! The speci cation tree and the CWBS should re ect the primary structure of the system architecture and be linked accordingly. To illustrate this point, consider the graphic shown in Figure 28.3. Guidepost 28.1 Now that we have established the speci cation tree as the framework for linking SYSTEM entity speci cations, let s shift our focus to understanding the structure of most speci cations.

9, the coordinates of u are (0, 0), while p = (d(u, p), 0) and q = (d(u, q) cos , d(u, q) sin ), where is the angle \(p, u, q) which can be computed using the law of cosines d(p, q)2 = d(u, p)2 + d(u, q)2 2d(u, p)d(u, q) cos For any other node v N(u), its coordinates (vx , vy ) are computed as follows First, the angles v = \ (v, u, p) and v = \ (v, u, q) are computed from the known.

The learning process for most engineers begins with a speci cation outline. However, most engineers lack exposure and understanding as to HOW the speci cation outline was derived. To eliminate the gap in this learning process, let s back away from the details of outlines and address WHAT speci cations should specify. Let s begin by graphically depicting a system entity and the key factors that drive its form, t, and function. Figure 28.4 serves this purpose. Author s Note 28.1 Remember, the term SYSTEM or entity is used here in a generic sense. By de nition, SEGMENTs, PRODUCTs, SUBSYSTEMs, ASSEMBLIES, HWCIs, and CSCIs are SYSTEMs. Thus, the discussion here applies to any level of abstraction.

6 2 Operational Operational Need(s) Need(s) 3 Specifications & Standards 5 4 Notes & Assumptions Verification Verification Methods Methods Inspection Inspection

Referring to the seven strategic guidelines for designing systems in 1 pg. 11, generate several different conceptual designs for systems that meet your specified performance criteria. Express the design as a workflow diagram or a process model. Further define the high-level activities in the workflow by specifying the data that goes into and out of each activity. For each activity, estimate the volume and frequency of the data flows and the source and destination of each data flow. In addition, define the types of people (if any) who will perform the work for each activity. How many people are needed What are the skill levels of the different types of people Exhibit 3.13 shows how the system process flows for a proposed e-business system.

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Electrical Mechanical Software Chemical Civil Aerospace Optical Nuclear Software Materials Reliability Maintainability System Safety Environmental Producibility Logistics System Security Vulnerability Survivability

Operational Characteristics Physical Characteristics Modes & States Interfaces Growth Capacity Products and Services By-Products Quality Factors Documentation Implemented By Constrain

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