Optimizing the Lifetime of Sensor Networks with Uncontrollable Mobile Sinks and QoS Constraints
In past literature, it has been demonstrated that the use of mobile sinks (MSs) increases dramatically the lifetime of wireless sensor networks (WSNs). In applications where the MSs are humans, animals, or transportation systems, the mobility of the MSs is often uncontrollable and could also be random and unpredictable. This implies the necessity of algorithms tailored to handle uncertainty on the MS mobility. In this article, we define the lifetime optimization of a WSN in the presence of uncontrollable sink mobility and Quality of Service (QoS) constraints. After defining an ideal scheme (called Oracle) which provably maximizes network lifetime, we present a novel Swarm-Intelligence-based Sensor Selection Algorithm (SISSA), which optimizes network lifetime and meets predefined QoS constraints. Then we mathematically analyze SISSA and derive analytical bounds on energy consumption, number of messages exchanged, and convergence time. The algorithm is experimentally evaluated on practical experimental setups, and its performances are compared to that by the optimal Oracle scheme, as well as with the IEEE 802.15.4 MAC and TDMA schemes. Results conclude that SISSA provides on the average the 56% of the lifetime provided by Oracle and outperforms IEEE 802.15.4 and TDMA in terms of yielded network lifetime.
F. Restuccia and S. K. Das, "Optimizing the Lifetime of Sensor Networks with Uncontrollable Mobile Sinks and QoS Constraints," ACM Transactions on Sensor Networks, vol. 12, no. 1, Association for Computing Machinery (ACM), Mar 2016.
The definitive version is available at https://doi.org/10.1145/2873059
Intelligent Systems Center
Keywords and Phrases
Algorithms; Artificial intelligence; Energy utilization; Optimization; Quality of service; Standards; Time division multiple access; 802.15.4; Ieee 802.15.4 macs; Implementation; Quality of Service constraints; Swarm Intelligence; Telosb; Transportation system; Wireless sensor network (WSNs); Wireless sensor networks; TDMA
International Standard Serial Number (ISSN)
Article - Journal
© 2016 Association for Computing Machinery (ACM), All rights reserved.