Analytical model of coding-based reprogramming protocols in lossy wireless sensor networks

• Published in: 2013 IEEE International Conference on Communications (ICC) pp. 1867 - 1871
• Main Authors: Jun-Wei Li, Shi-Ning Li, Yu Zhang, Yee Wei Law, Xingshe Zhou, Palaniswami, Marimuthu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2013
• Subjects: Analytical models; Computational modeling; Decoding; Encoding; Image coding; Protocols; Wireless sensor networks
• ISSN: 1550-3607; 1938-1883
• DOI: 10.1109/ICC.2013.6654793

Multi-hop over-the-air reprogramming is essential for the remote installation of software patches and upgrades in wireless sensor networks (WSNs). Recently, coding-based reprogramming protocols are proposed to address efficient code dissemination in environments with high packet loss rate. The problem of analyzing the performance of these protocols, however, has not been explored in the literature. In this paper, we present a high-fidelity analytical model based on Dijkstra's shortest path algorithm to measure the completion time of coding-based reprogramming protocols. Our model takes into account not only page pipelining and negotiation, but also coding computation. Results from extensive simulations of a representative coding-based reprogramming protocol called Rateless Deluge are in good agreement with the performance predicted by our model, thus validating our approach. Our analytical results show both the number of packets per page and the finite field size have significant impact on completion time. Most notably, the time overhead of coding computation exceeds that of communication when the number of packets per page is 24 and the finite field size is at least 2 4 .