Abstract

We establish some new results on the capacity of wireless sensor networks that employ single-user - detection, and we present the implications of our r esults on the scalability of such networks. In particular, we find bounds on the maximum achievable per-sensor end-to-end throughput, λe, and the maximum number of simultaneously successful wireless transmissions, Nt max , under a more general network scenario than previously considered . Furthermore, in the derivation of our results, we m ake no restrictions on the mobility pattern of the sensor and the destination nodes or on the number simultaneous transmissions and/or receptions that the nodes are capable of maintaining. In our derivation, we also analyze the effect of parameters such as the area of the network domai n, A, the path loss exponent, γ, the processing gain, G, and the SINR threshold, β. Specifically, we prove the following results for a wireless sensor network of N sensor nodes and M destination nodes that are equipped with omnidirec tional antennas:

Highlights

  • In recent years, there has been an increasing interest in certain class of wireless networks called wireless sensor networks

  • Scalability of wireless sensor networks has been an important research topic in the recent years, because of the growing demand to support a large number of nodes in future sensor networks, which are envisioned to consist of thousands to millions of sensor nodes

  • We have studied the capacity of single-user­ detection based wireless sensor networks through the use of a more general network model than the models used in the literature

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Summary

INTRODUCTION

There has been an increasing interest in certain class of wireless networks called wireless sensor networks. In [3], Marco et al explored 4( with two particular traffic patterns They used a half-duplex reception model, which is based on the protocol model, and they assumed that the N sensor nodes are static, they are uniformly distributed in the circular network domain, and the transmission range is. Since the network domain in these studies has a fixed area, as N grows large, the intended transmitter-receiver pairs get arbitrarily close to each other, which leads to a very optimistic evaluation of the SINR values due to the assumed propagation model.

SENSOR NETWORK MODEL
DEFINITIONS
DERIVATION OF THE UPPER BOUNDS
CONCLUSIONS
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