Near optimal multi-application allocation in shared sensor networks
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
Challenges of satisfying multiple stakeholders: quality of service in the internet of things
Proceedings of the 2nd Workshop on Software Engineering for Sensor Network Applications
SenShare: transforming sensor networks into multi-application sensing infrastructures
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
Congestion mitigation using in-network sensor datasummarization
Proceedings of the 9th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Proceedings of the Conference on Design, Automation and Test in Europe
MARINE: MiddlewAre for resource and mIssion-oriented sensor NEtworks
ACM SIGMOBILE Mobile Computing and Communications Review
Efficient allocation of resources in multiple heterogeneous Wireless Sensor Networks
Journal of Parallel and Distributed Computing
| Hi-index | 0.01 |
Wireless sensor networks are evolving from dedicated application-specific platforms to integrated infrastructure shared by multiple applications. Shared sensor networks offer inherent advantages in terms of flexibility and cost since they allow dynamic resource sharing and allocation among multiple applications. Such shared systems face the critical need for allocation of nodes to contending applications to enhance the overall Quality of Monitoring (QoM) under resource constraints. To address this need, this paper presents Utility-based Multi-application Allocation and Deployment Environment (UMADE), an integrated application deployment system for shared sensor networks. In sharp contrast to traditional approaches that allocate applications based on cyber metrics (e.g., computing resource utilization), UMADE adopts a cyber-physical system approach that dynamically allocates nodes to applications based on their QoM of the physical phenomena. The key novelty of UMADE is that it is designed to deal with the inter-node QoM dependencies typical in cyber-physical applications. Furthermore, UMADE provides an integrated system solution that supports the end-to-end process of (1) QoM specification for applications, (2) QoM-aware application allocation, (3) application deployment over multi-hop wireless networks, and (4) adaptive reallocation of applications in response to network dynamics. UMADE has been implemented on TinyOS and Agilla virtual machine for Telos motes. The feasibility and efficacy of UMADE have been demonstrated on a 28-node wireless sensor network testbed in the context of building automation applications.