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1411 Design Challenges Several common challenges exist for the design of time synchronization protocols [23] In order to perform synchronization, nodes exchange messages with each other However, factors in the network can cause delays in message delivery Four sources of error in network time synchronization can be identi ed The rst factor is send time, which includes the amount of time required to construct and transmit a message from the sender The second factor is access time, which includes the delay experienced at the MAC layer, such as waiting for the channel to become idle The third factor is propagation time, which includes the amount of time spent relaying the message across the various network interfaces between the sender and the receiver.

Finally, the fourth source of delay is receive time, which includes the amount of time required by the receiver to accept and decode the message and transfer it to the host 1412 Design Metrics A broad set of design metrics for time synchronization protocols exist [23] Factors such as energy ef ciency, scalability, precision, robustness, lifetime, and scope must all be taken into consideration As with all protocols designed for wireless sensor networks, energy ef ciency is a chief concern Protocols must be scalable, since sensor networks can potentially contain a very large number of sensor nodes The precision required may vary depending on the type of sensor network application For example, in some cases, an ordering of detected events may be required so that a chronology of events can be assembled In other cases, it may be necessary to time-stamp events at ner resolution.

BA enables you to create Sub procedures and Function procedures. I covered Sub procedures in the preceding chapter, and in this chapter I discuss Function procedures.

For example, real-time applications, such as target tracking, may require tight synchronization between sensor nodes as they follow the object s movements Finally, since sensor networks are generally left unattended for long periods of time, time synchronization protocols must be fault-tolerant and adaptive to changing network topologies For example, as new nodes are introduced and other nodes die, sensor nodes must be able to synchronize themselves seamlessly with their neighbors 1413 Protocols Much work has gone into solving the problem of time synchronization among sensor nodes At a rudimentary level, where a simple causality relationship [24,25] between detected events is desired, even traditional approaches employed in other types of distributed systems, such as vector clocks [26,27], are generally not practical for wireless sensor networks Vector clocks are not scalable in resource-constrained sensor networks with an unknown or large number of nodes.

The additional overhead required to transmit vector time stamps with each message would quickly deplete a node s battery, rendering it useless Furthermore, vector clocks are abstract in nature and do not indicate the duration of an event in physical time measurements, such as minutes or seconds Other complex protocols, such as the network time protocol (NTP) [28], are unsuitable for wireless sensor networks because of their computational requirements Protocols such as TSync [29] and reference-broadcast system (RBS) [30] exploit the broadcast nature of wireless sensor networks in order to achieve global time synchronization with a high degree of accuracy..

component weights, as, for example, 0922 having a greater amplitude than 0407 for the component 3 component weights Is this difference in magnitude re ected in the matrix plots Consider Figure 15a The strong positive correlation between component 3 and median income is strikingly evident, re ecting the 0922 positive correlation But the relationship between component 3 and housing median age is rather amorphous It would be dif cult with only the scatter plot to guide us to estimate the correlation between component 3 and housing median age as being 0407 Similarly, for Figure 15b, the relationship between component 4 and housing median age is crystal clear, re ecting the 0806 positive correlation, while the relationship between component 3 and median income is not entirely clear, re ecting its lower positive correlation of 0370.

Arch Physical Medicine and Rehabilitation, 67, 878 882 Glanz, K, Grove, J, Lerman, C, Gotay, C, & Le Marchand, L (1999) Correlates of intentions to obtain genetic counseling and colorectal cancer gene testing among at-risk relatives from three ethnic groups Cancer Epidemiology, Biomarkers and Prevention, 8, 329 336..