The last decade has witnessed a growing body of knowledge on the design and operation of Wireless Sensor Networks (WSNs) in a broad spectrum of applications. The premise of advancements in hardware design (MEMS, transceivers, sensors, etc.) potentiated a cost-effective base for many sensing domains. The protocols and paradigms devised for WSNs grew, both in scope and depth, to span many scenarios; advancing on energy efficiency and resilience as two main cores. However, recent attempts to scale WSN deployments to larger regions, and augment their functionality after deployment, elicited significant voids. We are faced with a technology that is advancing towards saturation in delta-improvements, many caps on performance, and a demand that is increasingly underachieved.
In a technology where case-specific approaches have always been employed, much rigidity and stalled designs dominate the current state of the art. In this research the authors leap into a novel paradigm of scalability and cost-effectiveness, on the basis of resource reuse. In a world with an abundance of wirelessly accessible devices, WSN deployments should capitalize on the resources already available in the region of deployment, and only augment it with the components required to meet new application requirements. However, if the required resources already exist in that region, WSN deployment converges to an assignment and scheduling scheme to accommodate the new application given the existing resources.
Such resources are polled from many domains, including multiple WSNs already in the field, static networks (WiFi, WiMAX, cellular, etc) in addition to municipal, industrial and mobile resources. The architecture, framework and pricing policy, in addition to approaches for backward compatibility with existing deployments, are presented in this book. The authors elaborate on the formalization of the problem, and contrast with existing work on coverage. This paradigm adopts optimal assignments in WSNs and exploits dynamic re-programming for boosting post-deployment and backward compatible protocols.
1. Evolution of Wireless Sensor Networks.
2. Shifting to Dynamic WSN Paradigms.
3. Resilience and Post-Deployment Maintenance.
4. Current Hindrances in WSNs.
5. Cloud-Centric WSNs.
6. The Resource-Reuse WSN Paradigm.
7. Component-Based WSNs: a Resilient Architecture.
8. Dynamic WSNs – Utilizing Ubiquitous Resources.
9. Realizing a Synergetic WSN Architecture for All Resources.
10. Future Directions in Sensor Networks.
Sharief M. A. Oteafy is currently a PhD candidate at the School of Computing at Queen’s University, Canada. His current research focuses on dynamic architectures for Wireless Sensor Networks; encompassing dynamic resource management over heterogeneous platforms, enabling large-scale sensing networks and operation in harsh environments.
Hossam S. Hassanein is Professor in the School of Computing at Queen’s University, Canada. His research areas include broadband, wireless and mobile networks architecture, protocols, control and performance evaluation. He is also the Founder and Director of the Telecommunications Research (TR) Lab at Queen’s University School of Computing.