On Maximizing Reliability of Lifetime Constrained Data Aggregation Tree in Wireless Sensor Networks

• Published in: Proceedings of the International Conference on Parallel Processing pp. 81 - 90
• Main Authors: Shan, Mengfan, Chen, Guihai, Wu, Fan, Wu, Xiaobing, Gao, Xiaofeng, Wu, Pan, Dai, Haipeng
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.09.2015
• Subjects: Agglomeration; Algorithms; Approximation algorithms; Approximation methods; Constraints; data aggregation; Data collection; Data management; Energy consumption; iterative relaxing algorithm; maximizing reliability; Optimization; Reliability; Remote sensors; Trees; Wireless communication; Wireless networks; Wireless sensor networks
• ISSN: 0190-3918
• DOI: 10.1109/ICPP.2015.17

Tree-based routing structures are widely used to gather data in wireless sensor networks. Along with tree structures, in-network aggregation is adopted to reduce transmissions, to save energy and to prolong the network lifetime. Most existing works that focus on the lifetime optimization for data aggregation do not take the link quality into consideration. In this paper, we study the problem of Maximizing Reliability of Lifetime Constrained data aggregation trees (MRLC) in WSNs. Considering the NP-completeness of the MRLC problem, we propose an algorithm, namely Iterative Relaxation Algorithm (IRA), to iteratively relax the optimization program and to find the aggregation tree subject to the lifetime bound with a sub-optimal cost. To adapt to the distributed nature of the WSNs in practice, we further propose a Prufer code based distributed updating protocol. Through extensive simulations, we demonstrate that IRA outperforms the best known related work in term of reliability.