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7 PRODUCT PRODUCT Level Level Behavioral Behavioral Design Design Solutions Solutions 11 SUBSYSTEM SUBSYSTEM Level Level Behavioral Behavioral Design Design Solutions Solutions 15 HWCI/CSCI HWCI/CSCI Behavioral Behavioral Design Design Solutions Solutions

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r Minimize Cost/Packet In order to maximize the lifetime of all nodes in the network, metrics other than energy consumed/packet need to be used The paths selected when using these metrics should be such that nodes with depleted energy reserves do not lie on many paths r Minimize Maximum Node Cost This metric ensures that node failure is delayed Unfortunately, there is no way to implement this metric directly in a routing protocol However, minimizing the cost/node does signi cantly reduce the maximum node cost in the network The early energy-aware routing algorithms are based on shortest path algorithms Instead of using delay or hop counts as the link metrics, energy-oriented link metrics such as signal strength [60], battery energy level at each node [61, 62], power level [63 65], and energy consumption per transmission [9, 66] are used in these algorithms.





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13 HWCI/CSCI HWCI/CSCI Requirements Requirements Specification Specification (HRS/SRS) (HRS/SRS)

large IT System Management and Quality Control projects In addition, he has marketed system management products and services for some of the industry s leading vendors His current projects include IT Strategic Performance Management and IT Financial Management, and he has published extensively about each subject As a thought leader in IT Governance, he embraces the opportunity to effectively manage IT Bill currently resides in Florissant, Colorado He can be reached at billflemming@sascom Anthony Hill ( 2) is Chief Technology Officer for Golden Gate University in San Francisco, where he architected an e-business transformation of the university He has more than 24 years of experience in all facets of information technology as a CTO, software developer, consultant, project manager, and systems integrator.

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The link condition and power level of nodes are exchanged periodically in order to keep these metrics up-to-date In this way, energy consumption for routes can be minimized However, certain nodes in the network may drain energy out faster than other nodes since these nodes may lie on many paths Therefore, energy consumption must be balanced among nodes to increase network lifetime Chang and Tassiulas [16, 17] formulate the problem of maximizing the lifetime of network as a linear programming problem By solving the optimization problem, the network lifetime can be maximized However, the optimal solutions either are not distributed or induce signi cant computational and communication overhead Chang and Tassiulas [17] also propose a heuristic based on shortest path routing The link cost is proportional to the energy consumed per packet and is inversely proportional to the normalized resident battery energy at sender and receiver.

Based on the highly iterative and recursive characteristics, System Developers evolve the system design solution over time from the SPS into a series of work ow progressions through each level of abstraction until the system design solution is initially complete. Figure 26.7 illustrates how the total system design solution evolves through the domain solutions at each level of abstraction and culminates with the Critical Design Review (CDR). Symbolically, the inner loops of the spiral represent increasing levels of detail until; the CDR is conducted. Each loop of the spiral culminates in a technical review that serves as a critical staging or control point for commitment to the next level of detail. Each loop includes a breakout point to permit reconciling changes with previous levels and to continue to evolve and mature the higher level solutions until CDR. Author s Note 26.3 The context of Figure 26.7 is for the period between Contract Award and CDR when the total design solution is approved and released for component procurement and development. However, the system design solution IS NOT nalized until the rst article system or product has been integrated, tested, veri ed, validated (optional), and accepted by the Acquirer or User.

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