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Wireless Sensor Networks : Technology, Protocols, and Applications

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BACKGROUND 285<br />

data relaying, <strong>and</strong> so on. This topology can result in more efficient routing, but the<br />

topology formation is an energy-consuming task <strong>and</strong> also increases the complexity<br />

of sensor nodes. In ad hoc mode, sensor nodes self-organize into a flat <strong>and</strong> unstructured<br />

topology, <strong>and</strong> all nodes perform the task of sensing <strong>and</strong> relaying. A sensor<br />

node will become dysfunctional if its energy is depleted <strong>and</strong> recharging is not<br />

possible. In a multihop environment, multiple paths exist between a source <strong>and</strong><br />

the sink, which lead to route redundancy <strong>and</strong> therefore flexible routing. When<br />

the number of dysfunctional nodes accumulates to a certain level, the topology<br />

will be disjointed <strong>and</strong> service failure may occur. The movement of sensor nodes<br />

in some cases (such as when installed in tanks on the battlefield) still makes<br />

this topology variable. In summary, the topology of sensor networks can be well<br />

structured or ad hoc. The topology is usually variable <strong>and</strong> has multiple paths<br />

from the source nodes to the sink. These attributes influence the design of routing<br />

protocols in WSNs.<br />

Most traffic in WSNs flows starlike from sensor nodes to the sink. If there are<br />

multiple sinks, multiple traffic flows will be generated between sensor nodes <strong>and</strong><br />

the sink. The sensor nodes gather data <strong>and</strong> report to the sink according to the<br />

preconfigured rules. This many-to-one traffic flow is called convergecast [11.24],<br />

which means many-to-one traffic flow from sensor nodes to the sink. Therefore,<br />

sensor nodes closer to the sink have the heavier burden for relaying, <strong>and</strong> due to<br />

higher energy consumption they might become dysfunctional sooner. A helpful<br />

way to get around this problem is to deploy more densely around the sink or to<br />

perform in-network processing (e.g., data aggregation) to reduce traffic flow. The<br />

traffic flow <strong>and</strong> specific functional requirements of the sensor deployment can be<br />

used to optimize networking protocols.<br />

The basic service provided by WNSs is to detect certain events <strong>and</strong> report them.<br />

The data related to the events are usually small, usually just a few bytes <strong>and</strong> in<br />

many cases just a few bits. Therefore, it may be possible to transmit more than<br />

one event in a single data unit if the application reporting frequency allows it.<br />

Other factors that affect WSN design are listed in (Table 11.1). These factors<br />

have a direct impact on the system performance of WSNs.<br />

TABLE 11.1 Design Factors for <strong>Wireless</strong> <strong>Sensor</strong> <strong>Networks</strong> [11.1]<br />

Factor<br />

Node deployment<br />

Mobility<br />

Network topology<br />

Coverage<br />

Connectivity<br />

Network size<br />

Communications<br />

Options<br />

R<strong>and</strong>om, manual, one-time, iterative<br />

Immobile, partly, all; occasional, continuous; active, passive<br />

Single-hop, star, networked stars, tree, graph<br />

Sparse, dense, redundant<br />

Connected, intermittent, sporadic<br />

Hundred, thous<strong>and</strong>, more<br />

Laser, infrared, radio-frequency (narrowb<strong>and</strong>, spread<br />

spectrum, UWB)<br />

Source: [11.1].

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