Abstract
The efficient subdivision of a sensor network into uniform, mostly non-overlapping clusters of physically close nodes is an important building block in the design of efficient upper layer network functions such as routing, broadcast, data aggregation, and query processing.
We present ACE, an algorithm that results in highly uniform cluster formation that can achieve a packing efficiency close to hexagonal close-packing. By using the self-organizing properties of three rounds of feedback between nodes, the algorithm induces the emergent formation of clusters that are an efficient cover of the network, with significantly less overlap than the clusters formed by existing algorithms. The algorithm is scale-independent — it completes in time proportional to the deployment density of the nodes regardless of the overall number of nodes in the network. ACE requires no knowledge of geographic location and requires only a small constant amount of communications overhead.
This research was supported in part by the Center for Computer and Communications Security at Carnegie Mellon under grant DAAD19-02-1-0389 from the Army Research Office, and by gifts from Bosch and Intel Corporation. The views and conclusions contained here are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either express or implied, of ARO, Bosch, Carnegie Mellon University, Intel, or the U.S. Government or any of its agencies.
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Chan, H., Perrig, A. (2004). ACE: An Emergent Algorithm for Highly Uniform Cluster Formation. In: Karl, H., Wolisz, A., Willig, A. (eds) Wireless Sensor Networks. EWSN 2004. Lecture Notes in Computer Science, vol 2920. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24606-0_11
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DOI: https://doi.org/10.1007/978-3-540-24606-0_11
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