Title :
Analytical Modelling of IEEE 802.15.4 for Multi-Hop Networks with Heterogeneous Traffic and Hidden Terminals
Author :
Marco, Piergiuseppe Di ; Park, Pangun ; Fischione, Carlo ; Johansson, Karl Henrik
Author_Institution :
ACCESS Linnaeus Center, R. Inst. of Technol., Stockholm, Sweden
Abstract :
IEEE 802.15.4 multi-hop wireless networks are an important communication infrastructure for many applications, including industrial control, home automation, and smart grids. Existing analysis of the IEEE 802.15.4 medium access control (MAC) protocol are often based on assumptions of homogeneous traffic and ideal carrier sensing, which are far from the reality when predicting performance for multi-hop networks. In this paper, a generalized analysis of the unslotted IEEE 802.15.4 MAC is presented. The model considers heterogeneous traffic and hidden terminals due to limited carrier sensing capabilities, and allows us to investigate jointly IEEE 802.15.4 MAC and routing algorithms. The analysis is validated via Monte Carlo simulations, which show that routing over multi-hop networks is significantly influenced by the IEEE 802.15.4 MAC performance. Routing decisions based on packet loss probability may lead to an unbalanced distribution of the traffic load across paths, thus motivating the need of a joint optimization of routing and MAC.
Keywords :
Monte Carlo methods; Zigbee; access protocols; optimisation; probability; telecommunication network routing; telecommunication traffic; IEEE 802.15.4 multihop wireless networks; MAC protocol; Monte Carlo simulation; carrier sensing; heterogeneous traffic; hidden terminal; medium access control protocol; optimization; packet loss probability; routing algorithm; Markov processes; Network topology; Peer to peer computing; Reliability; Routing; Sensors; Spread spectrum communication;
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2010.5683811