Dynamic wireless sensor networks /

• Κύριος συγγραφέας: Oteafy, Sharief M. A.
• Άλλοι συγγραφείς: Hassanein, Hossam S.
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken : Wiley, 2014.
• Σειρά: FOCUS Series.
• Θέματα: Wireless sensor networks.; Technology and engineering > Sensors.; Technology and engineering > Telecommunications.; Wireless communication systems.; TECHNOLOGY & ENGINEERING > Technical & Manufacturing Industries & Trades.; Electronic books.

In this title, the authors leap into a novel paradigm of scalability and cost-effectiveness, on the basis of resource reuse. In a world with much abundance of wirelessly accessible devices, WSN deployments should capitalize on the resources already available in the region of deployment, and only aug...

Πίνακας περιεχομένων:

• Cover; Title Page; Copyright; Contents; Preface; List of Acronyms; List of Notations; Chapter 1: Evolution of Wireless Sensor Networks; 1.1. The progression of wireless sensor networks; 1.2. Remote sensing: in retrospect; 1.3. Inherited designs and protocols from MANets; 1.4. Book outline; 1.5. Summary; 1.6. Bibliography; Chapter 2: Shifting to Dynamic WSN Paradigms; 2.1. The hurdle of static operation; 2.2. Versatile operating systems; 2.3. Dynamic reprogramming; 2.4. The rise of service-oriented WSNs; 2.5. Crowd sensing; 2.6. Bibliography.
• Chapter 3: Resilience and Post-Deployment Maintenance3.1. Impact of harsh environments on network design; 3.2. High failure proneness (of nodes and communication); 3.2.1. Detection; 3.2.2. Classification; 3.2.3. Location and zoning; 3.2.4. Isolation; 3.2.5. Maintenance; 3.3. Post-deployment maintenance; 3.4. Re-deployment; 3.5. Self-re-distributing SNs and mobility; 3.5.1. Sink mobility; 3.5.2. Node mobility; 3.6. Bibliography; Chapter 4: Current Hindrances in WSNs; 4.1. Lack of consensus; 4.2. Resource underutilization in the black-box paradigm; 4.3. Redundant deployments.
• 4.4. Single-application paradigm4.5. Redundancy to boost resilience; 4.6. IPv6 and enabling internet connectivity; 4.7. Bibliography; Chapter 5: Cloud-Centric WSNs; 5.1. Introduction; 5.2. The evolution of cloud-centric architectures; 5.2.1. The cloud variants; 5.2.2. LowPAN and stub nets; 5.3. SOA and SODA; 5.4. Hindrances in adopting cloud-centric WSNs; 5.4.1. Spatial limitations; 5.4.2. Temporal limitations; 5.4.3. Data representation SLAs; 5.4.4. Impact on resilience; 5.4.5. Energy efficiency at steak; 5.4.6. Functional decomposition discrepancies/redesign; 5.4.7. Breaching anonymity.
• 5.4.8. Traffic bottlenecks and query diffusion5.5. Future directions; 5.6. Bibliography; Chapter 6: The Resource-Reuse WSN Paradigm; 6.1. Contributions of the RR-WSN paradigm; 6.1.1. Revamping the view (of WSNs); 6.1.2. WSN resource reutilization; 6.1.3. Multi-application overlay; 6.1.4. Utilizing non-WSN abundant resources; 6.1.5. Enabling large-scale deployment; 6.1.6. Synergy for realizing the Internet of things; 6.2. RR-WSN: system model; 6.2.1. Network design; 6.2.2. Resource attributes; 6.2.2.1. Functional capability; 6.2.2.2. Levels of operation; 6.2.2.3. Power consumption.
• 6.2.2.4. Location6.2.2.5. Duty cycling; 6.2.2.6. Region of fidelity; 6.2.3. Representing applications; 6.3. Bibliography; Chapter 7: Component-Based WSNs: A Resilient Architecture; 7.1. Component-based DWSN architecture; 7.1.1. Network model; 7.1.2. Dynamic core nodes (DCN); 7.1.3. Wireless dynamic components (WDC); 7.1.4. Remote wake-up; 7.2. WDSN in operation: the synergy of dynamic sensing; 7.2.1. Operation of DWSN; 7.2.2. DCN in operation; 7.2.3. WDC in operation; 7.3. Resilience model; 7.4. Bibliography; Chapter 8: Dynamic WSNs
• Utilizing Ubiquitous Resources.