Abstract
The paper proposes a performance metric evaluation for a distributed detection wireless sensor network with respect to IEEE 802.15.4 standard. A distributed detection scheme is considered with presence of the fusion node and organized sensors into the clustering and non-clustering networks. Sensors are distributed in clusters uniformly and nonuniformly and network has multilevel fusion centers. Fusion centers act as heads of clusters for decision making based on majority-like received signal strength (RSS) with comparison the optimized value of the common threshold. IEEE 802.15.4 Markov chain model derived the performance metric of proposed network architecture with MAC, PHY cross-layer parameters, and Channel State Information (CSI) specifications while it is including Path-loss, Modulation, Channel coding and Rayleigh fading. Simulation results represent significant enhancement on performance of network in terms of reliability, packet failure, average delay, power consumption, and throughput.
Highlights
In the recent years, employments of wireless sensor networks (WSNs) have increased in many aspects of modern lifestyle
For instance see [4] and the references therein, wireless sensor network is studied with a small amount of sensors and low signal to noise ratio (SNR), distributed detection, and decision making fusion rules carried out on multi-bit knowledge of local detecting sensors with Monte-Carlo simulation methods
In [8, 9] a distributed detection (DD) system is considered for multiple sensors/detectors work, collaboratively and the fusion center is responsible for the final decision-making task based on information gathered from local sensors; the integration of wireless channel conditions in algorithm design is taken into the account
Summary
Employments of wireless sensor networks (WSNs) have increased in many aspects of modern lifestyle. Mathematical model framework of a decentralized distributed detection is studied in cluster-based network with a Markov chain model for IEEE 802.15.4 Medium Access Control (MAC) with respect to CSMA/CA mechanism interplay by physical layer and channel state information. Performance metric is evaluated for a clustering network topology with respect to a Markov chain model for CSMA/CA medium access control which proposed in [2] for a single node. Behavior of the Markov model proposed at [2] is Mathematical Problems in Engineering describing CSMA/CA algorithm for a single node within star network with N sensor nodes whereas our attempt updates performance metric equations with clustering topology and is accompanied by FCs. Model in [2] is only considered to packet collision probability as case of loss. Simulation is carried out to represent probability of decision error at FC (Pe) in a clustered network with significant enhancement on performance metric in terms of reliability (Rc), packet failure (Pf), average delay (E(cav)), power consumption with considering different operation modes, idle (Pi), sensing (Psc), transmission (Pt) and receiving (Pr), and Network aggregation throughput (Sc)
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