Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Middleware challenges for wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Energy Efficient Data Collection in Distributed Sensor Environments
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Aspect-oriented design of sensor networks
Journal of Parallel and Distributed Computing
Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Firefly-inspired sensor network synchronicity with realistic radio effects
Proceedings of the 3rd international conference on Embedded networked sensor systems
Ultra-low power data storage for sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks
IEEE Distributed Systems Online
Open problems in data collection networks
Proceedings of the 11th workshop on ACM SIGOPS European workshop
BiSNET: A Biologically-Inspired Architecture forWireless Sensor Networks
ICAS '06 Proceedings of the International Conference on Autonomic and Autonomous Systems
SASHA: toward a self-healing hybrid sensor network architecture
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
The virtual pheromone communication primitive
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Insect sensory systems inspired computing and communications
Ad Hoc Networks
Modeling and executing adaptive sensor network applications with the Matilda UML virtual machine
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Collaborative signal and information processing in wireless sensor networks: a review
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proceedings of the 2nd Workshop on Software Engineering for Sensor Network Applications
Proceedings of the 3rd workshop on Biologically inspired algorithms for distributed systems
A game theoretic framework for peer-to-peer market economy
International Journal of Grid and Utility Computing
Frontiers of Computer Science in China
Some comments on wireless sensor networks for natural hazards
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
BIMAS: a prototype for intrusion detection system using motion sensors and ZigBee
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
| Hi-index | 0.00 |
This paper describes BiSNET (Biologically-inspired architecture for Sensor NETworks), a middleware architecture that addresses several key issues in multi-modal wireless sensor networks (MWSNs) such as autonomy, scalability, adaptability, self-healing and simplicity. Based on the observation that various biological systems have developed mechanisms to overcome these issues, BiSNET follows certain biological principles such as decentralization, food gathering/storage and natural selection to design MWSN applications. In BiSNET, each application consists of multiple software agents, which operate on the BiSNET middleware platform in individual sensor nodes, and each agent exploits certain biologically-inspired mechanisms such as energy exchange, pheromone emission, replication, migration and death. This is analogous to a bee colony (application) consisting of multiple bees (agents). This paper describes the biologically-inspired mechanisms in BiSNET, and evaluates their impacts on the autonomy, scalability, adaptability, self-healing and simplicity of MWSNs. Simulation results show that BiSNET allows sensor nodes (agents and platforms) to be scalable with respect to network size, autonomously adapt their sleep periods for power efficiency and responsiveness of data collection, adaptively aggregate data from different types of sensor nodes, and collectively self-heal (i.e., detect and eliminate) false positive sensor data. The BiSNET platform is implemented simple in its design and lightweight in its memory footprint.