Download Deploying Wireless Sensor Networks. Theory and Practice by Mustapha Reda Senouci, Abdelhamid Mellouk PDF
By Mustapha Reda Senouci, Abdelhamid Mellouk
Wireless Sensor Networks: thought and perform for Deployment addresses WSNs deployment, a compulsory and demanding step within the strategy of constructing WSNs options for real-life functions. The authors deal with uncomplicated techniques to install static WSNs, then exploring more sophisticated methods to set up cellular WSNs. that includes certain investigations of deployment-related matters reminiscent of deployment expense, 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 functional features, besides wisdom of the guidelines for WSNs deployment.
- Provides either the theoretical foundation and sensible applications
- Features an in-depth dialogue of deployment-related issues
- Covers easy options and terminologies in addition to highlighting open difficulties within the study components that will help you resolve your deployment-related matters
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Additional info for Deploying Wireless Sensor Networks. Theory and Practice
46 PLACE_SENSORS [DHI 02] Max-Avg-Cov [DHI 03] Max-Min-Cov [DHI 03] JSP [HUA 13] Mini et al. [MIN 13] DT-Score [WU 07a] MIN_MISS [ZOU 03b] PFDA [AIT 11] MODA [AIT 11] MAX_MISS [ZOU 03b] DDA [AIT 07] Liu et al. [LIU 12] Max-Cov-Tp [SEN 14c] BDA [AIT 09] Diﬀ-Deploy [ZHA 06] SADA [SEN 14d] Max_Deficiency [ABA 11] PSODA [SEN 15a] Computational Memory complexity complexity High High High Medium Medium Medium Very high Medium High Very high Very high Medium Very high High Very high High Very high Medium High High High Medium Medium Medium Medium Medium Medium Medium Medium Medium Medium Medium High Medium Medium Medium Primary objective Secondary objective Constraint Max.
The number of sensors Min. the number of sensors Min. 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.
The authors showed that the hexagon topology obtains better performances in terms of the minimum number of sensors required when compared with the triangular and square topologies. Authors in [CAR 08b] try to minimize costs while covering all target points. Yun et al. [YUN 10] proposed a set of deployment patterns to achieve full area coverage and k-connectivity (k ≤ 6). Authors in [HAL 15] proposed a system based on Archimedes’ spiral pattern that aims at extending the WSN lifetime. Zhu and Wang [ZHU 15] studied the optimal placement pattern in terms of the smallest sensor density.