By Mustapha Reda Senouci, Abdelhamid Mellouk
Wireless Sensor Networks: idea and perform for Deployment addresses WSNs deployment, a compulsory and demanding step within the means of constructing WSNs recommendations for real-life purposes. The authors handle uncomplicated ways to install static WSNs, then exploring more sophisticated methods to set up cellular WSNs. that includes exact investigations of deployment-related concerns corresponding to deployment fee, assurance, connectivity, sensors reliability, and cruel deployment environments, this booklet will equip you with the fundamentals and a sophisticated view of either the theoretical and useful features, besides wisdom of the guidelines for WSNs deployment.
- Provides either the theoretical foundation and functional applications
- Features an in-depth dialogue of deployment-related issues
- Covers easy strategies and terminologies in addition to highlighting open difficulties within the learn components that will help you clear up your deployment-related matters
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Extra info for Deploying Wireless Sensor Networks. Theory and Practice
The number of sensors Min. the number of sensors Min. 1. 3. m) where n × m is the size of the RoI. The convergence and the effectiveness of EBDA are reported in [SEN 11, SEN 15c]. In [SEN 12b], Senouci et al. considered two additional constraints, namely preferential coverage and network connectivity. They characterized the structure of an optimal solution that can be used to construct an optimal solution to the problem from optimal solutions to subproblems. However for this deployment problem, the total number of distinct subproblems is an exponential in the input size.
Hence, if the transmission range Rc of a sensor is much longer than its sensing range R s then connectivity is not an issue. This result has been generalized for the case of k-coverage [TIA 05]. In short, k-coverage also implies k-connectivity when Rc ≥ 2R s . 2. Probabilistic deployment strategies In probabilistic deployment strategies, the sensor detection is modeled probabilistically. In [DHI 02, DHI 03, ZOU 03b], authors considered a probabilistic coverage model. The RoI is assumed as a two-dimensional n × n grid of points.
In each throw, n sensors will be dropped. In the end, we will have N dropped sensors, with Random Deployment 25 N = n × number of throws. 4 shows an example of a discontinuous diﬀusion in a RoI of 600 m × 200 m, with N = 98 and the number of throws = 5. 5. 3. 4. 5. 2. Compound random node placement strategies A compound random deployment model is a random deployment model realizable by repeated simple diﬀusions with diﬀerent means and variances. 26 Deploying Wireless Sensor Networks Therefore, to practically obtain a compound random deployment model we may need to fly over the RoI several times.
Deploying Wireless Sensor Networks. Theory and Practice by Mustapha Reda Senouci, Abdelhamid Mellouk