This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network
December 2010 (vol. 21 no. 12)
pp. 1836-1850
ASCII Text
x 
 
You-Chiun Wang, Wen-Chih Peng, Yu-Chee Tseng, "Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 12, pp. 1836-1850, December, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2010.56,
author = {You-Chiun Wang and Wen-Chih Peng and Yu-Chee Tseng},
title = {Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {21},
number = {12},
issn = {1045-9219},
year = {2010},
pages = {1836-1850},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.56},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network
IS - 12
SN - 1045-9219
SP1836
EP1850
EPD - 1836-1850
A1 - You-Chiun Wang,
A1 - Wen-Chih Peng,
A1 - Yu-Chee Tseng,
PY - 2010
KW - Energy saving
KW - load balance
KW - mobile sensor
KW - robot
KW - wireless sensor network.
VL - 21
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
You-Chiun Wang, National Chiao-Tung University, Hsinchu
Wen-Chih Peng, National Chiao-Tung University, Hsinchu
Yu-Chee Tseng, National Chiao-Tung University, Hsinchu
We consider a hybrid wireless sensor network with static and mobile nodes. Static sensors monitor the environment and report events occurring in the sensing field. Mobile sensors are then dispatched to visit these event locations to conduct more advanced analysis. A big challenge is how to schedule these mobile sensors' traveling paths in an energy-balanced way so that their overall lifetime is maximized. We formulate this problem as a multiround sensor dispatch problem and show it to be NP-complete. Then, we propose a centralized and a distributed heuristics to schedule mobile sensors' traveling paths. Our heuristics allow arbitrary numbers of mobile sensors and event locations in each round and have an energy-balanced concept in mind. The centralized heuristic tries to minimize mobile sensors' moving energy while keeping their energy consumption balanced. The distributed heuristic utilizes a grid structure for event locations to bid for mobile sensors. Through simulations, we show the effectiveness of our schemes. This paper contributes in defining a more general multiround sensor dispatch problem and proposing energy-efficient solutions to it.

[1] G. Cao, G. Kesidis, T.F.L. Porta, B. Yao, and S. Phoha, "Purposeful Mobility in Tactical Sensor Networks," Sensor Network Operations, Wiley-IEEE Press, 2006.
[2] Y.C. Wang and Y.C. Tseng, "Intentional Mobility in Wireless Sensor Networks," Wireless Networks: Research, Technology and Applications, Nova Science Publishers, 2009.
[3] M.A. Batalin, M. Rahimi, Y. Yu, D. Liu, A. Kansal, G.S. Sukhatme, W.J. Kaiser, M. Hansen, G.J. Pottie, M. Srivastava, and D. Estrin, "Call and Response: Experiments in Sampling the Environment," Proc. ACM Int'l Conf. Embedded Networked Sensor Systems, pp. 25-38, 2004.
[4] T. Wark, P. Corke, P. Sikka, L. Klingbeil, G. Ying, C. Crossman, P. Valencia, D. Swain, and G. Bishop-Hurley, "Transforming Agriculture through Pervasive Wireless Sensor Networks," IEEE Pervasive Computing, vol. 6, no. 2, pp. 50-57, Apr.-June 2007.
[5] Y.C. Tseng, Y.C. Wang, K.Y. Cheng, and Y.Y. Hsieh, "iMouse: An Integrated Mobile Surveillance and Wireless Sensor System," Computer, vol. 40, no. 6, pp. 60-66, June 2007.
[6] R. Rao and G. Kesidis, "Purposeful Mobility for Relaying and Surveillance in Mobile Ad Hoc Sensor Networks," IEEE Trans. Mobile Computing, vol. 3, no. 3, pp. 225-231, July 2004.
[7] Y.G. Mei, Y.H. Lu, Y.C. Hu, and C.S.G. Lee, "Deployment Strategy for Mobile Robots with Energy and Timing Constraints," Proc. IEEE Int'l Conf. Robotics and Automation, pp. 2816-2821, 2005.
[8] B.I. Kim, J. Shin, S. Jeong, and J. Koo, "Effective Overhead Hoist Transport Dispatching Based on the Hungarian Algorithm for a Large Semiconductor FAB," Int'l J. Production Research, vol. 47, no. 10, pp. 2823-2834, 2009.
[9] H.W. Kuhn, "The Hungarian Method for the Assignment Problem," Naval Research Logistics Quarterly, vol. 2, pp. 83-97, 1955.
[10] M. Blaser, "A New Approximation Algorithm for the Asymmetric TSP with Triangle Inequality," Proc. ACM-SIAM Symp. Discrete Algorithms, pp. 638-645, 2003.
[11] I. Stojmenovi, "A Routing Strategy and Quorum Based Location Update Scheme for Ad Hoc Wireless Networks," Technical Report TR-99-09, Computer Science, School of Information Technology and Eng., Univ. of Ottawa, Sept. 1999.
[12] Z.J. Haas and B. Liang, "Ad Hoc Mobility Management with Uniform Quorum Systems," IEEE/ACM Trans. Networking, vol. 7, no. 2, pp. 228-240, Apr. 1999.
[13] Y.G. Mei, Y.H. Lu, Y.C. Hu, and C.S.G. Lee, "A Mobility Management and Routing Protocol Using Tree Architecture for Internet Connectivity of Mobile Ad Hoc Networks," Proc. IEEE Int'l Conf. Computer Comm. and Networks, pp. 967-972, 2007.
[14] N. Li, J.C. Hou, and L. Sha, "Design and Analysis of an MST-Based Topology Control Algorithm," IEEE Trans. Wireless Comm., vol. 4, no. 3, pp. 1195-1206, May 2005.
[15] J. Wu and F. Dai, "Mobility-Sensitive Topology Control in Mobile Ad Hoc Networks," IEEE Trans. Parallel and Distributed Systems, vol. 17, no. 6, pp. 522-535, June 2006.
[16] T. Camp, J. Boleng, and V. Davies, "A Survey of Mobility Models for Ad Hoc Network Research," Wireless Comm. and Mobile Computing, vol. 2, no. 5, pp. 483-502, 2002.
[17] T. Balch and R.C. Arkin, "Behavior-Based Formation Control for Multirobot Teams," IEEE Trans. Robotics and Automation, vol. 14, no. 6, pp. 926-939, Dec. 1998.
[18] M.J. Mataric, G.S. Sukhatme, and E.H. Ostergaard, "Multi-Robot Task Allocation in Uncertain Environments," Autonomous Robots, vol. 14, pp. 255-263, 2003.
[19] M. Asada, E. Uchibe, and K. Hosoda, "Co-Operative Behaviour Acquisition for Mobile Robots in Dynamically Changing Real Worlds via Vision-Based Reinforcement Learning and Development," Artificial Intelligence, vol. 110, pp. 275-292, 1999.
[20] K.H. Park, Y.J. Kim, and J.H. Kim, "Modular Q-Learning Based Milti-Agent Cooperation for Robot Soccer," Robotics and Autonomous Systems, vol. 35, pp. 109-122, 2001.
[21] C.F. Touzet, "Distributed Lazy Q-Learning for Cooperative Mobile Robots," Int'l J. Advanced Robotic Systems, vol. 1, no. 1, pp. 5-13, 2004.
[22] B.P. Gerkey and M.J. Mataric, "A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems," Int'l J. Robotics Research, vol. 23, no. 9, pp. 939-954, 2004.
[23] Z. Butler and D. Rus, "Event-Based Motion Control for Mobile-Sensor Networks," IEEE Pervasive Computing, vol. 2, no. 4, pp. 34-42, Oct. 2003.
[24] P. Basu and J. Redi, "Movement Control Algorithms for Realization of Fault-Tolerant Ad Hoc Robot Networks," IEEE Network, vol. 18, no. 4, pp. 36-44, July/Aug. 2004.
[25] J. Wu and S. Yang, "SMART: A Scan-Based Movement-Assisted Sensor Deployment Method in Wireless Sensor Networks," Proc. IEEE INFOCOM, pp. 2313-2324, 2005.
[26] Y. Zou and K. Chakrabarty, "Sensor Deployment and Target Localization in Distributed Sensor Networks," ACM Trans. Embedded Computing Systems, vol. 3, no. 1, pp. 61-91, 2004.
[27] N. Heo and P.K. Varshney, "Energy-Efficient Deployment of Intelligent Mobile Sensor Networks," IEEE Trans. Systems, Man and Cybernetics—Part A: Systems and Humans, vol. 35, no. 1, pp. 78-92, Jan. 2005.
[28] G. Wang, G. Cao, and T.F.L. Porta, "Movement-Assisted Sensor Deployment," IEEE Trans. Mobile Computing, vol. 5, no. 6, pp. 640-652, June 2006.
[29] Y.C. Wang, C.C. Hu, and Y.C. Tseng, "Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network," IEEE Trans. Mobile Computing, vol. 7, no. 2, pp. 262-274, Feb. 2008.
[30] Y.C. Wang and Y.C. Tseng, "Distributed Deployment Schemes for Mobile Wireless Sensor Networks to Ensure Multilevel Coverage," IEEE Trans. Parallel and Distributed Systems, vol. 19, no. 9, pp. 1280-1294, Sept. 2008.
[31] C. Sharp, S. Schaffert, A. Woo, N. Sastry, C. Karlof, S. Sastry, and D. Culler, "Design and Implementation of a Sensor Network System for Vehicle Tracking and Autonomous Interception," Proc. IEEE European Workshop Wireless Sensor Networks, pp. 93-107, 2005.
[32] M.D. Naish, E.A. Croft, and B. Benhabib, "Dynamic Dispatching of Coordinated Sensors," Proc. IEEE Int'l Conf. Systems, Man, and Cybernetics, pp. 3318-3323, 2000.
[33] Y. Zou and K. Chakrabarty, "Distributed Mobility Management for Target Tracking in Mobile Sensor Networks," IEEE Trans. Mobile Computing, vol. 6, no. 8, pp. 872-887, Aug. 2007.
[34] A. Verma, H. Sawant, and J. Tan, "Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network," Pervasive and Mobile Computing, vol. 2, no. 1, pp. 65-84, 2006.
[35] G. Wang, G. Cao, P. Berman, and T.F.L. Porta, "Bidding Protocols for Deploying Mobile Sensors," IEEE Trans. Mobile Computing, vol. 6, no. 5, pp. 563-576, May 2007.
[36] G. Wang, G. Cao, T.F.L. Porta, and W. Zhang, "Sensor Relocation in Mobile Sensor Networks," Proc. IEEE INFOCOM, pp. 2302-2312, 2005.
[37] X. Li, N. Santoro, and I. Stojmenovic, "Localized Distance-Sensitive Service Discovery in Wireless Sensor and Actor Networks," IEEE Trans. Computers, vol. 58, no. 9, pp. 1275-1288, Sept. 2009.
[38] N. Bulusu, J. Heidemann, and D. Estrin, "GPS-Less Low-Cost Outdoor Localization for Very Small Devices," IEEE Personal Comm., vol. 7, no. 5, pp. 28-34, Oct. 2000.
[39] M. Udi, Introduction to Algorithms: A Creative Approach. Addison-Wesley Publishing Company, 1989.
[40] J. Han and M. Kamber, Data Mining: Concepts and Techniques. Academic Press, 2001.
[41] T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, Introduction to Algorithms. The MIT Press, 2001.
[42] M. Rahimi, H. Shah, G.S. Sukhatme, J. Heideman, and D. Estrin, "Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network," Proc. IEEE Int'l Conf. Robotics and Automation, pp. 19-24, 2003.
[43] G.M. Dai, A.H. Du, Q.H. Li, and M.C. Wang, "Planning of Moving Path Based on Simplified Terrain," Proc. Int'l Conf. Machine Learning and Cybernetics, pp. 1915-1918, 2003.
[44] Y.H. Liu and S. Arimoto, "Finding the Shortest Path of a Disc among Polygonal Obstacles Using a Radius-Independent Graph," IEEE Trans. Robotics and Automation, vol. 11, no. 5, pp. 682-691, Oct. 1995.
[45] S.Q. Zheng, J.S. Lim, and S.S. Iyengar, "Finding Obstacle-Avoiding Shortest Paths Using Implicit Connection Graphs," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, vol. 15, no. 9, pp. 103-110, 1996.

Index Terms:
Energy saving, load balance, mobile sensor, robot, wireless sensor network.
Citation:
You-Chiun Wang, Wen-Chih Peng, Yu-Chee Tseng, "Energy-Balanced Dispatch of Mobile Sensors in a Hybrid Wireless Sensor Network," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 12, pp. 1836-1850, Dec. 2010, doi:10.1109/TPDS.2010.56
Usage of this product signifies your acceptance of the Terms of Use.