SNR-aware and power-efficient multicast cooperative routing algorithm in wireless networks

• Published in: EURASIP journal on wireless communications and networking Vol. 2012; no. 1; pp. 1 - 13
• Main Author: Yen, Hong-Hsu
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 28.07.2012; Springer Nature B.V
• Subjects: Algorithms; Communications Engineering; Computer networks; Engineering; Information Systems Applications (incl.Internet); Multicast; Networks; Optimization; Power control; Recent advances in optimization techniques in wireless communication networks; Routing (telecommunications); Signal,Image and Speech Processing; Wireless networks; Wireless multicast advantage; Minimum power broadcast multicast; Power control; SNR QoS; Cooperative routing
• ISSN: 1687-1499; 1687-1472; 1687-1499
• DOI: 10.1186/1687-1499-2012-237

Power-efficient multicast routing is an active research field in wireless networks because most network nodes are powered by battery. However, this kind of multicast routing only considers the transmission radius coverage without addressing whether the signal quality is able to meet bandwidth requirement of the users. In this article, by leveraging on the Maximum Ratio Combining signal processing technique, a novel cooperative multicast routing scheme that meets the Signal-to-Noise Ratio (SNR) requirements of the traffic demands in power efficient way is developed. This problem is formulated as an optimization problem where the objective is to minimize the total transmission power subject to the SNR constraint. This is a challenging cross-layer design problem to simultaneously consider the cooperative routing in the network layer and the SNR-aware power control in the physical layer. A heuristic algorithm called bandwidth-aware cooperative radius adjustment (BACRA) is proposed to tackle this problem. The basic idea of BACRA is to select the node with the maximum ratio of contributed SNR to the power (denoted as SNR/P) to expand its power one at a time until the SNR requirements are all satisfied. The BACRA is proved to be optimal in terms of the SNR/P performance ratio. Numerical results demonstrate that the BACRA outperforms the other heuristics under all tested cases, especially in stringent SNR requirements and sparse network.