Sensors: the next wave of innovation
Communications of the ACM
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
Training a wireless sensor network
Mobile Networks and Applications
A simple and robust virtual infrastructure for massively deployed wireless sensor networks
Computer Communications
Wireless sensor networks: leveraging the virtual infrastructure
IEEE Network: The Magazine of Global Internetworking
A probabilistic model of integration
Decision Support Systems
Cellular automata based models of wireless sensor networks
Proceedings of the 7th ACM international symposium on Mobility management and wireless access
Biology-inspired architecture for situation management
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Energy usage in biomimetic models for massively-deployed sensor networks
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
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Promises of ubiquitous control of the physical environment by large-scale wireless sensor networks open avenues for new applications that are expected to redefine the way we live and work. Most of recent research has concentrated on developing techniques for performing relatively simple tasks in small-scale sensor networks assuming some form of centralized control. The main contribution of this work is to propose a new way of looking at large-scale sensor networks, motivated by lessons learned from the way biological ecosystems are organized. Indeed, we believe that techniques used in small-scale sensor networks are not likely to scale to large networks; that such large-scale networks must be viewed as an ecosystem in which the sensors/effectors are organisms whose autonomous actions, based on local information, combine in a communal way to produce global results. As an example of a useful function, we demonstrate that fully distributed consensus can be attained in a scalable fashion in massively deployed sensor networks where individual motes operate based on local information, making local decisions that are aggregated across the network to achieve globally-meaningful effects.