Performance Modeling of Cognitive Wireless Sensor Networks Applied to Environmental Protection

Abstract

This paper presents a methodology, a theoretical framework, and some novel ideas on performance modeling and evaluation of application-specific cognitive wireless sensor networks applied to environmental protection. Cross-layer optimizations integrating the use of adaptive sleep, adaptive modulation and energy-aware higher layer processing and protocols are assumed. Routing and application layer processing are assumed to be dependent on lower-layer protocols, requirements, and constraints. Applications relevant to this study are forest monitoring, where the probability of network failure is the main parameter to be minimized, and endangeredspecies monitoring, where the probability of node failure is reduced by increasing the expected node life. Results are shown comparing expected node life of a cross-layered design to that of a traditional adaptive modulation system.

Joint Adaptive Modulation and Adaptive MAC Protocols for Wireless Sensor Networks

“…These parameters can be varied either individually or jointly, according to channel conditions and quality of service (QoS) requirements. More recently [7] a "cognitive approach" is formalized for WSNs where global context information is used to optimize network performance at all layers. This new paradigm applies to this paper also for the special case where networking requirements are simplified and limited to lower layer performance to maximize node availability.…”

Cognitive strategies for reducing energy consumption in wireless sensor networks

“…In [14] the vision and advantage of a holistic approach to cognition in sensor networks is provided. In [15] a methodology, a theoretical framework, and some novel ideas on performance modeling are presented. It is also remarked that energy-aware routing studies do not use to address application layer constraints even though literature is rich in cross-layer suggestions.…”