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The complete design of a wireless sensor network, considering a particular application, should take into account many different aspects such as application goals, traf c pattern, sensor node capability and availability, expected network lifetime, access to the monitoring area, node replacement, environment characteristics, and cost Given a particular monitoring application, the network designer should clearly identify its main goals and the corresponding QoS parameters For instance, given a re detection application for a rain forest, we would like to guarantee that the network will operate for the expected lifetime However, as soon as a re spot is detected, this information should reach the sink node as fast and reliable as possible, probably not worrying about the energy expenditure of the nodes involved in this communication Power-ef cient communication paradigms for a given application should consider both routing and media access algorithms.

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The routing algorithms must be tailored for ef cient network communication while maintaining connectivity when required to source or relay packets In this case, the research challenge of the routing problem.

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is to nd a power-ef cient method for scheduling the nodes such that a multihop path may be used to relay the data. But, when we consider the particular aspects of the monitoring application, we could apply, for instance, information fusion and density control algorithms to reduce the amount of data packets to be relayed and sensor nodes that need to be active, respectively. As the sensor network starts to operate, it may be necessary to adjust the functionality of individual nodes. This re nement can take several different forms. Scalar parameters, like duty cycle or sampling rates, may be adjusted using self-con guration and self-organization algorithms. This process may occur in different ways along the operation of the network lifetime. Ideally, a WSN designer should come up with both the hardware and software necessary to accomplish the aspects mentioned above. Unfortunately, it seems that we are far from this scenario. We are still giving the rst steps in the design process of a wireless sensor network as we move toward to a more disciplined development. Most of the studies found in the literature study particular problems for a WSN. That is possibly the way we should go since we need to have more experience before we can design a complete solution in a more systematic and automated way. Figure 1.3 depicts a possible monitoring application for a rain forest. In this case, we might be interested in detecting different events such as the presence of a rare bird, a re spot, and different environmental variables. The operation of the sensor

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62 APPLICATIONS Sensor networks can be deployed in a wide variety of applications One of the main classi cation criteria is whether the sensor nodes are mobile or immobile The data collection might be either continuous or periodic; the latter can lead to bursty traf c patterns Naturally, every application requires a speci c set of sensor types Some of the most popular sensor types are: light, sound, magnetic eld, accelerator, temperature, humidity, chemical composition such as soil makeup, mechanical stress levels on an object, and many others [6] Some of the primary application domains for sensor networks are the following: Environmental Environmental sensors can be used to detect and track natural disasters such as forest res or oods They can also be used to track the movement of birds and other animals Military.

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The sensor networks will be an integral part of the future C4ISRT systems (command, control, communications, computing, intelligence, surveillance, reconnaissance, and targeting) They can, for instance, be used to track the movement of the enemy in the battle eld The main advantage of WSNs is that they can be deployed and operated remotely, without putting human lives at risk Naturally, military deployments bring their own challenges of security and con dentiality Health Sensor networks can be used in hospitals and clinics for patient monitoring and tracking of various systems and humans Sensors can be also used to track and monitor the drug doses prescribed to patients and prevent situations where the drugs are administered to the wrong patient Sensors can be deployed for telemonitoring of patients, a promising new direction for at-home monitoring and care for the elderly Home.

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