DocumentCode
1883408
Title
An optimization-based approach for connecting partitioned mobile sensor/Actuator Networks
Author
Sir, Mustafa Y. ; Senturk, Izzet F. ; Sisikoglu, Esra ; Akkaya, Kemal
Author_Institution
Dept. of Ind. & Manuf. Syst. Eng., Univ. of Missouri, Columbia, MO, USA
fYear
2011
fDate
10-15 April 2011
Firstpage
525
Lastpage
530
Abstract
Wireless Sensor and Actuator Networks (WSANs) employ mobile nodes in addition to stationary tiny sensors. Similarly, mobile sensors make it possible to have the flexibility of mobility in mobile sensor network (MSN) applications. Mobility can be exploited to connect partitioned WSANs and MSNs due to large scale damages or deployment problems. However, since mobility consume significant energy and it can be limited due to terrain constraints, the travel distance for the mobile nodes should be minimized in such a recovery effort. In this paper, we present a mathematical model which minimizes the total travel distance for connecting a given number of partitions. The idea is based on network flows and the problem is modeled as a mixed integer nonlinear program. The nonlinear terms in the model are linearized using a polygon approximation for computational efficiency. We evaluated the performance of the proposed approach in terms of total distance as well as the time to reconnect the partitions. The results show that our approach outperforms the heuristic approach in terms of total distance and delay and reveals various trade-offs involved in connecting multiple partitions.
Keywords
actuators; integer programming; nonlinear programming; optimisation; wireless sensor networks; MSN; heuristic approach; mixed integer nonlinear program; mobile nodes; mobile sensor networks; optimization; polygon approximation; stationary tiny sensors; wireless actuator networks; wireless sensor networks; Actuators; Approximation methods; Delay; Mobile communication; Mobile computing; Robot sensing systems; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4577-0249-5
Electronic_ISBN
978-1-4577-0248-8
Type
conf
DOI
10.1109/INFCOMW.2011.5928869
Filename
5928869
Link To Document