Localization and scheduling protocols for actor-centric sensor networks

  • Authors:
  • Sajal K. Das;Giacomo Ghidini;Alfredo Navarra;Cristina M. Pinotti

  • Affiliations:
  • Center for Research in Wireless Mobility and Networking, The University of Texas at Arlington, Arlington, Texas;Center for Research in Wireless Mobility and Networking, The University of Texas at Arlington, Arlington, Texas;Dipartimento di Matematica e Informatica, Università degli Studi di Perugia, Perugia, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Perugia, Perugia, Italy

  • Venue:
  • Networks
  • Year:
  • 2012

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Abstract

We propose novel localization and routing protocols in an actor-centric wireless sensor network consisting of an actor node and a large number of energy-constrained sensors operating under L different periodic sleep–awake schedules. Specifically, we propose a semidistributed localization algorithm in which a small subset of sensors extracts their positions in polar coordinates based on the messages received from the actor, and subsequently localizes (also in polar coordinates) the remaining sensors. By modeling the deployed sensors as a two-dimensional Poisson point process and applying well-known results from the coupon collector's problem and Chernoff bounds, we analytically derive and also validate, by simulation, the sensor density required to localize all sensors in the network with high probability. The actor-centric network can be modeled by a cluster adjacency graph G with the help of the already localized polar coordinates that logically partition the network into concentric coronas (around the actor), each subdivided in a varying number of clusters (of almost the same area). To avoid intercluster collisions in G, sensors in different clusters transmit on different channels. A lower bound on the number of channels required to schedule the transmissions without collisions is obtained by solving a distance-2 vertex coloring problem on G. Optimal and quasioptimal fully distributed algorithms are provided to determine the channel assigned to each cluster in constant time. Finally, we apply these results to develop a geographic routing protocol: the messages generated from the sensors in a given cluster are routed toward the actor through the unique shortest path of G that starts from the node associated with the cluster and goes up to the corona where the actor resides. In each cluster, to avoid redundant retransmissions toward the actor, we select L leaders, one for each periodic sleep–awake schedule. © Wiley Periodicals, Inc. NETWORKS, Vol. 2012. © 2012 Wiley Periodicals, Inc. (Some preliminary results of this article appeared in G. Ghidini, C. M. Pinotti, and S. K. Das, “A semi-distributed localization protocol for wireless sensor and actor networks,” in Proc. of the 8th International Conference on Pervasive Computing and Communications (PerCom) Workshops, 2010, pp. 438-443; A. Navarra, C. M. Pinotti, V. Ravelomanana, F. Betti Sorbelli, and R. Ciotti, Cooperative training for high density sensor and actor networks, IEEE Journal on Selected Areas in Communications 28, 2010, pp. 753-763; A. Navarra and C. M. Pinotti, “Collision-free Routing in Sink-Centric Sensor Networks with Coarse-Grain Coordinates,” in Proc. of the 21st International Workshop on Combinatorial Algorithms (IWOCA), Lecture Notes in Computer Science 6460, Springer, 2010, pp. 140–153. This work is partially supported by a grant from EADS North America, a grant from Fondazione Cassa di Risparmio di Perugia (Italy) under the project Ricerca di base 2009, and NSF Grant IIS- 0326505, CNS-0721951 and CNS-0916221. The work of S. K. Das is also supported by (while serving at) the National Science Foundation. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.)