Download Deploying Wireless Sensor Networks. Theory and Practice by Mustapha Reda Senouci, Abdelhamid Mellouk PDF

By Mustapha Reda Senouci, Abdelhamid Mellouk

Wireless Sensor Networks: conception and perform for Deployment addresses WSNs deployment, a compulsory and important step within the technique of constructing WSNs options for real-life purposes. The authors handle uncomplicated methods to install static WSNs, then exploring more sophisticated ways to set up cellular WSNs. that includes targeted investigations of deployment-related concerns equivalent to deployment fee, assurance, connectivity, sensors reliability, and cruel deployment environments, this publication will equip you with the fundamentals and a complicated view of either the theoretical and functional features, in addition to wisdom of the guidelines for WSNs deployment.

  • Provides either the theoretical foundation and useful applications
  • Features an in-depth dialogue of deployment-related issues
  • Covers simple ideas and terminologies in addition to highlighting open difficulties within the examine parts that can assist you clear up your deployment-related concerns

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Additional resources for Deploying Wireless Sensor Networks. Theory and Practice

Sample text

1. Simple diffusion The simplest way to deploy sensors is to scatter them from the air [AKY 02, ISH 04b, WAN 08a]. Since all the information must reach the sink, the distribution is centered on the sink. Lightweight sensors will have higher air resistance randomizing their placement and the resulting distribution is called simple diffusion. In [ISH 04a], this deployment process was modeled by a linear diffusion equation, whose solution is a two-dimensional normal 1 The probability of a sensor being within the RoI = {x1 ≤ X ≤ x2 , y1 ≤ Y ≤ y2 } can be written x y in terms of PDF as follows: P(x1 ≤ X ≤ x2 , y1 ≤ Y ≤ y2 ) = x 2 y 2 f (x, y)dxdy.

2. 2. 2 that fewer sensors are required when EBDA is used. EBDA consistently outperforms MIN_MISS in all cases. In fact, while both strategies guarantee the minimum required detection probability, the evidence-based approach saves almost 25% of the deployment cost over the probabilistic one. As mentioned in [SEN 15c], the rate of reduction in the deployment cost achieved by the evidence-based approach is related among others to the size of the RoI and the minimum required detection probability.

1. Why deterministic deployment? g. placement, layout, coverage, or positioning problems. The two major questions that need to be answered are: how many sensors should be deployed and where? In fact, the answers define several WSN properties such as coverage, connectivity and lifespan. In deterministic deployment, the locations of sensors are precomputed prior to WSN start-up, which is usually pursued for indoor applications [AKY 02, YOU 08], when sensors are expensive, or when their operation is significantly affected by their position.

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