Performance Analysis of Slotted Carrier Sense IEEE 802.15.4 Medium Access Layer

TLDR

Low‑power sensor networks have matured to support diverse applications, driven by the IEEE 802.15.4 standard that defines their MAC and PHY layers. This study evaluates whether slotted CSMA/CA satisfies the design constraints of low‑power, low‑cost sensor networks. The authors analytically evaluate slotted CSMA/CA in a star topology for uplink and acknowledged traffic, modeling saturated and unsaturated periodic traffic with a per‑user Markov chain analogous to Bianchi’s 802.11 DCF but adapted to 802.15.4’s carrier‑sensing design, and use the model to assess throughput and energy consumption across scenarios. The analytical predictions closely match simulation results, and the study derives design guidelines for setting 802.15.4 parameters to meet network requirements.

Abstract

Advances in low-power and low-cost sensor networks have led to solutions mature enough for use in a broad range of applications varying from health monitoring to building surveillance. The development of those applications has been stimulated by the finalization of the IEEE 802.15.4 standard, which defines the medium access control (MAC) and physical layer for sensor networks. One of the MAC schemes proposed is slotted carrier sense multiple access with collision avoidance (CSMA/CA), and this paper analyzes whether this scheme meets the design constraints of those low-power and low-cost sensor networks. The paper provides a detailed analytical evaluation of its performance in a star topology network, for uplink and acknowledged uplink traffic. Both saturated and unsaturated periodic traffic scenarios are considered. The form of the analysis is similar to that of Bianchi for IEEE 802.11 DCF only in the use of a per user Markov model to capture the state of each user at each moment in time. The key assumptions to enable this important simplification and the coupling of the per user Markov models are however different, as a result of the very different designs of the 802.15.4 and 802.11 carrier sensing mechanisms. The performance predicted by the analytical model is very close to that obtained by simulation. Throughput and energy consumption analysis is then performed by using the model for a range of scenarios. Some design guidelines are derived to set the 802.15.4 parameters as function of the network requirements.