Abstract
Wireless
Sensor Networks (WSNs) are widely used for a great number of applications such
as earthquake measurements, fire rescue, environmental monitoring, health care,
smart homes approximately for twenty years. Therefore, researchers still try to
design routing and MAC protocols for WSNs. In these studies, authors aim to
improve common performance metrics which are energy efficiency, throughput and
network lifetime by using several approaches. To achieve these improvements
commonly used scheme is clustering. Clustering provides equal load distribution
in the network by decreasing communication distances of sensor nodes thereby
enhances energy efficiency of the network. LEACH is a fundamental routing
protocol that forms clusters in a self-adaptive way to extend the lifetime of
the network significantly. However, it has frequent cluster failures which
cause network disconnection. This issue can be very critical for vital
applications such as fire rescue, health care schemes and earthquake
measurements. As a result, we design low energy fixed clustering algorithm
(LEFCA) to overcome these issues and prolong network lifetime of LEACH based
protocols in a significant manner. In this paper, we aim to investigate
performance of LEFCA when base station (BS) is deployed into the sensor field.
LEFCA is a fixed clustering algorithm which has threshold based cluster head
(CH) determination approach as well as it has intelligent CH election process
at the initialization of the protocol by the help of BS. In simulations, LEFCA
is compared with LEACH and ModLEACH in terms of network lifetime, variation of
total remaining energy and total data delivered to the BS for inside BS
situation. According to the results, LEFCA provides remarkable performance
improvements when compared with LEACH based protocols.
References
- Akyildiz, I. F. et al. (2002). Wireless sensor networks: a survey. Computer Networks, 38/4, 393-422. Heinzelman W, et al. (2004). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1/4, 660-670. Cengiz, K. & Dag, T. (2015). Low energy fixed clustering algorithm (LEFCA) for wireless sensor networks. Proceedings from IEEE CoCoNet 2015: IEEE International Conference on Computing and Network Communications. Trivandrum, INDIA.
Abstract
References
- Akyildiz, I. F. et al. (2002). Wireless sensor networks: a survey. Computer Networks, 38/4, 393-422. Heinzelman W, et al. (2004). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1/4, 660-670. Cengiz, K. & Dag, T. (2015). Low energy fixed clustering algorithm (LEFCA) for wireless sensor networks. Proceedings from IEEE CoCoNet 2015: IEEE International Conference on Computing and Network Communications. Trivandrum, INDIA.
Details
| Subjects | Engineering |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | November 9, 2017 |
| Published in Issue | Year 2017Issue: 1 |
