Performance Analysis of a Compression Scheme for Highly Dense Cluster-Based Wireless Sensor Network

Moad, Sofiane; Rivero, Mario; Bouabdallah, Nizar; Séricola, Bruno; Hadjadj-Aoul, yassine

doi:10.5772/48370

Cited by 1 publication

(1 citation statement)

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“…• Contrary to CM an EDR approach of sensor application exploiting spatial correlation is derived by a novel compression cluster scheme in spatial correlated region (CC_SCR) [9] [10]. In this scheme, the cluster head selects a single value from all the available values transmitted by the cluster members and it is chosen as reference called reference value; this parameter is transmitted to all the nodes inside the cluster in such an order that, the other active nodes transmit only the difference between the reference and sensed value.…”

Section: Our Contributionsmentioning

confidence: 99%

Energy-Efficient Methods for Highly Correlated Spatio-Temporal Environments in Wireless Sensor Network Communications

Azim¹,

Aung²,

Moad³

et al. 2014

WSN

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Continuous-monitoring (CM) of natural phenomenon is one of the major streams of applications in wireless sensor networks (WSNs), where aggregation and clustering techniques are beneficial as correlation dominates in both spatial and temporal aspects of sensed phenomenon. Conversely, in Event Driven Reporting (EDR), the efficient transmission of sensitive data related to some predefined alarm cases is of major importance. As such, reporting latency is a more important performance parameter. However, in some applications, the transmission of both CM and EDR data is encouraged or even required. For either CM or EDR applications, system performance can be greatly improved when both the number of packets to be transmitted as well as the packet size is reduced. This is especially true for highly dense sensor networks where many nodes detect the same values for the sensed phenomenon. Building on this, this paper focuses on studying and proposing compression techniques to improve the system performance in terms of energy consumption and reporting latency in both CM and EDR applications. Furthermore, we extend our analysis to hybrid networks where CM and EDR are required simultaneously. Specifically, this paper presents a simple aggregation technique named smart aggregation (SAG) for the CM applications and an event driven scheme named compression cluster scheme in spatial correlated region (CC_SCR). The proposed SAG exploits both spatial and temporal correlations where CC_SCR exploits the spatial correlation of such networks by data compression. Rationalizing the developments is attained by simulations that compare energy efficiency of the proposed SAG with k-hop M. A. Azim et al. 68 aggregation and CM based event driven reporting (CMEDR) schemes. Results of CC_SCR show that the technique may reduce the energy consumption drastically. In some specific cases the reduction becomes more than 10 times compared to a classical clustering scheme. Two different strategies for the transmission of event reports through the CM infrastructure are incorporated: PER and NPER protocols. Both strategies take advantage of the cluster-based architecture which assigns a TDMA schedule for the CM data transmission while using NP/CSMA for the transmission of the event information. Consequently, no extra energy is consumed for separate event clusters. As such, the number of packets to be transmitted is greatly reduced.

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Section: Our Contributionsmentioning

confidence: 99%