Out of control: the new biology of machines, social systems, and the economic world
Out of control: the new biology of machines, social systems, and the economic world
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Stigmergy, self-organization, and sorting in collective robotics
Artificial Life
Some algorithms for synchronizing clocks of base transceiver stations in a cellular network
Journal of Parallel and Distributed Computing - Special issue on wireless networks
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
Multi-training sensor networks with bipartite conflict graphs
Proceedings of the international workshop on Middleware for sensor networks
SPLAI: Computational finite element model for sensor networks
Mobile Information Systems
Hybrid training with binary search protocol for wireless sensor networks
Mobile Information Systems - Improving Quality of Service in Mobile Information Systems, Services and Networks
Fault reconnaissance agent for sensor networks
Mobile Information Systems
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The phenomenal advances in MEMS and nanotechnology make it feasible to build small devices, referred to as sensors that are able to sense, compute and communicate over small distances. The massive deployment of these small devices raises the fascinating question of whether or not the sensors, as a collectivity, will display emergent behavior, just as living organisms do. In this work we report on a recent effort intended to observe emerging behavior of large groups of sensor nodes, like living cells demonstrate. Imagine a massive deployment of sensors that can be in two states "red" and "blue". At deployment time individual sensors have an initial color. The goal is to obtain a uniform coloring of the deployment area. Importantly, the sensors can only talk to sensors that are one-hop away from them. The decisions to change colors are local, based on what the sensors can infer from collecting color information from their neighbors. We have performed extensive simulations involving 20,000 sensors in an area of 100 m × 100 m. Our simulation results show that the sensor network converges to a stable uniform coloring extremely fast.