Performance Analysis and Optimization for Energy-Efficient Cooperative Transmission in Random Wireless Sensor Network

• Published in: IEEE transactions on wireless communications Vol. 12; no. 9; pp. 4647 - 4657
• Main Authors: Li, Bin, Li, Hongxiang, Wang, Wenjie, Yin, Qinye, Liu, Hui
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.09.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Applied sciences; Broadcasting; circuit energy consumption; Clusters; cooperative multi-input-multi-output; Detection, estimation, filtering, equalization, prediction; Energy conservation; Energy consumption; Energy management; Exact sciences and technology; Information, signal and communications theory; Optimization; Random wireless sensor networks; Receivers; Remote sensors; sensor node sleep strategy; Services and terminals of telecommunications; Signal and communications theory; Signal, noise; Sleep; Strategy; Studies; Switching and signalling; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Telemetry. Remote supervision. Telewarning. Remote control; Transmission; Wireless communication; Wireless networks; Wireless sensor networks; Performance evaluation; MIMO system; Packet switching; Relay; Wireless telecommunication; Measurement sensor; Random distribution; Packet error rate; cooperative multi-input-multi-output; sensor node sleep strategy; Energy savings; Optimization; Remote sensing; circuit energy consumption; Simulation; Electric power consumption; Wireless network; Minimum energy; Metric; Low-power electronics; Random medium; Sensor array; Random wireless sensor networks; Signal detection
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2013.072313.121949

This paper considers random wireless sensor networks where nodes are distributed randomly and form clusters to transmit the packets to relay clusters using cooperative multi-input-multi-output (CMIMO) technique. First, we study CMIMO energy consumption and divide it into intra-cluster energy consumption and inter-cluster energy consumption. Then we focus on analyzing the system performance in terms of overall packet error rate (PER) and energy consumption. Based on system performance metrics, we propose a new node sleep strategy, where overall energy consumption is minimized by coordinating inter-cluster transmitting energy consumption and the number of sensor nodes in activation. Compared to existing works, our contributions are (1) we consider random distribution of nodes and get a closed-form expression of overall PER that simplifies the energy minimization problem; (2) we analyze the tradeoff between overall energy consumption and nodes active rate. In simulation, we investigate the relationships among nodes active rate, inter-cluster transmitting energy consumption and the overall energy consumption. Furthermore, we discuss how these parameters are affected by the nodes density, the inter-cluster transmitting distance, the cluster radius and the intra-cluster energy consumption. Finally, we validate that the proposed nodes sleep strategy has significant energy savings compared with non-sleep cooperative transmission and direct transmission.