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Maximizing network lifetime in this situation is open, and many works can be done for this issue The main concern of the power-ef cient topology control algorithm proposed in recent years is to reduce the transmission range of nodes while maintaining moderate connectivity However, because traf c in ad hoc networks is typically dynamic, a load-sensitive power-ef cient topology control may further reduce the total energy consumption in ad hoc networks and prolong the network lifetime Power management can save a signi cant amount of energy for nodes in ad hoc networks because nodes are scheduled to switch to the sleeping state when they are in the idle mode However, nding an optimal schedule is still open.



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Operational Prototype Prototype Prototype 2 3 Simulations, Models, & Benchmarks Detailed Design Unit Test Code

Software Requirements Requirements Validation Design Validation and Verification Acceptance Test Implementation

Source: Figure 2, A Spiral Model of Software Development and Enhancement by Dr. Barry Boehm, IEEE Computer May 1988, p. 64. Reprinted with permission.





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For example, the following questions need to be answered in the optimal schedule: when to switch to sleep mode, how long to stay in sleeping state, how a node can send or receive signaling message when in sleeping state, and so on Moreover, power management involves many challenging problems for the upper layers For example, since there always exists a subset of nodes in any region, traditional broadcasting and multipath routing protocols would not work ef ciently in such environment Thus, either of these routing protocols are redesigned to adjust to such a situation, or the power management scheme is carefully designed take into account these considerations Another interesting problem is the tradeoff between energy conservation by power management and network performance Because the network can only make use of a subset of nodes at any time, packet delay is inevitably increased.

This sample data model shows that there are six entities that the managers of any given business process must understand and how these entities relate to each other.

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system contribute to the maturing design solution. The knowledgebase evolves via technology or proof of concept demonstrations to a level of maturity worthy of: 1) introduction to the marketplace and 2) production investments from an acceptable risk perspective. DSMC describes the model in this manner. The spiral approach also develops and delivers a system in builds, but differs from the incremental approach by acknowledging that the user need is not fully formed at the beginning of development, so that all requirements are not initially de ned. The initial build delivers a system based on the requirements, as they are known at the time development is initiated, and then succeeding builds are delivered that meet additional requirements as they become known. (Additional needs are usually identi ed and requirements de ned as a result of user experience with the initial build). (Source: Glossary: Defense Acquisition Acronyms and Terms)

The development spiral consists of four quadrants as shown in Figure 27.2: Quadrant 1: Quadrant 2: Quadrant 3: Quadrant 4: Determine objectives, alternatives, and constraints. Evaluate alternatives, identify, resolve risks. Develop, verify, next-level product. Plan next phases.

How to strike a balance between them in power management is a critical issue to the application of power management in ad hoc networks..

Although the spiral, as depicted, is oriented toward software development, the concept is equally applicable to systems, hardware, and training, for example. To better understand the scope of each spiral development quadrant, let s brie y address each one.

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11.6 CONCLUSIONS Since power control has a signi cant impact on the functionalities in layers of the protocol stack in wireless ad hoc networks, it is a prototypical example of cross-layer design for wireless networks. Power control can reduce transmit power level (and hence gain energy conservation) and performance (e.g., throughput, delay) improvement by alleviating the congestion of wireless medium. There are many approaches to obtain the above bene ts with power control. In this survey, we rst distill some

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