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Operation 7.0 Assess Operational Mission Readiness includes system capabilities and activities required to review the overall readiness to conduct the assigned mission. After the system has been con gured for the mission and all system element resources are fully integrated and operational, mission operational readiness is assessed. The assessment evaluates the readiness posture of the integrated set of system elements such as EQUIPMENT, PERSONNEL, and FACILITIES to perform their assigned mission. If the readiness assessment is No, the system is tagged as operationally de cient with a RED or YELLOW tag. A mission impact risk assessment decision is made to determine if the de ciency warrants cancellation of the mission or replacement of the system/element with a backup system. If the system requires maintenance, work ow progresses to Operation 20.0 Perform System Maintenance. If the system is determined to provide the capabilities required to support the mission, work ow progress to Operation 9.0 Await Mission Go-ahead Decision. Author s Note 18.2 To facilitate a later discussion in this chapter, Operations 8.0, 11.0, 12.0, and 19.0 are unused in Figure 18.1 and reserved for our follow-on topical discussion.



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Operation 9.0 Mission Go-ahead, a decision control point, determines if tasking orders to conduct the mission have been issued. If Operation 9.0 Await Mission Go-ahead Decision is Yes or TRUE, work ow proceeds to Operation 10.0 Conduct Mission. If the Operation 9.0 Await Mission Go-ahead Decision is No or FALSE, system readiness is periodically checked by cycling back to Operation 7.0 Assess Operational Mission Readiness.





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i2OCR is a free online Optical Character Recognition (OCR) that extracts text from images so that it can be edited, formatted, indexed, searched, or translated.

, AODV [29], DSR [30]) only deal with the problem of discovering available routes between source and destination; they didn t consider the energy consumption of nodes in the network Thus, they may consume too much energy, which is usually a precious resource for battery-driven nodes in the network This motivates the design of energy-aware routing protocols in wireless ad hoc networks So far, most proposed schemes use the minimum necessary transmit power for reliable communication at each hop, and they use this power level as the link metric in next hop selection Various link metric functions based on transmit power level are proposed to achieve different design goals of energy-ef cient routing protocols Neely et al [45] consider dynamic routing and power allocation for a wireless network with time-varying channels.

Operation 10.0 Conduct System Mission includes system capabilities and activities required to conduct the system s primary and secondary mission(s). During this operation the system may encounter and engage threats and opportunities as it performs the primary and secondary mission objectives. If the system requires maintenance during the conduct of the mission, Operation 16.0 Replenish System Resources or Operation 20.0 Perform System Maintenance may be performed, if practical.

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On completion of the mission, work ow proceeds to Operation 13.0 Assess Mission and System Performance.

The time-varying channels are modeled as stochastic processes S(t) taking values on a nite-state space and ergodic with time average probabilities S for each state S Time is slotted with slots normalized to integral units At the beginning of each timeslot, nodes determine transmission rate on each link by allocating a power matrix P(t) subject to the power constraints Link rates are determined by a corresponding rate power curve (P(t), S(t)) The authors rst characterize the notion of network layer capacity region, and then they propose dynamic routing and power control (DRPC) algorithm to achieve the capacity region and offer delay guarantees with consideration of the full effects of queueing In the network, packets randomly enter into the system at each node and wait in output queues to be transmitted through the network to their destinations The DRPC algorithm is based.

Operation 13.0 Assess Mission and System Performance includes system capabilities and activities required to review the level of mission success based on mission primary and secondary objectives and system performance contributions to that success. Activities include postmission data reduction, target impact assessment, strengths, and weaknesses; threats; mission debrief observations and lessons learned; and mission success. These operations also provide the opportunity to review human performance, strengths, and weaknesses in the conduct of the mission. On completion of Operation 13.0 Assess Mission System Performance, work ow progresses to Operation 14.0, a Deactivate/Phase-out System Decision.

Operation 14.0 Deactivate/Phase-out System, a decision control point, determines if the system is to continue current operations, be upgraded, or be decommissioned or phased out of active duty. The decision is based on exit criteria (15) that were established for the system. If the deactivate/phase-out system decision is Yes or TRUE, work ow progresses to Operation 21.0 Deactivate/Phase-out System. If the decision is No or FALSE, work ow proceeds to Operation 16.0 Replenish System Resources.

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on the maximum differential backlog algorithms, and the details are described below:

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