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Effect of Hash Function on Performance of Low Power Wake up Receiver for Wireless Sensor Network
Effect of Hash Function on Performance of Low Power Wake up Receiver for Wireless Sensor Network
ISSN : 0974 - 9330Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Vikas Kumar and Rajender Kumar, International Journal of Network Security & Its Applications
Dibuat : 2012-06-25, dengan 1 file
Keyword : Wireless sensor network (WSN), Low power, VLSI, Wake up receiver, Bloom filter
Subjek : Effect of Hash Function on Performance of Low Power Wake up Receiver for Wireless Sensor Network
Url : http://airccse.org/journal/nsa/1010ijnsa07.pdf
Sumber pengambilan dokumen : Internet
Next generation network will consist of different types of wireless networks like WSN, Wi-Fi, WiMAX,
UMTS, LTE and etc. Wireless Sensor Network (WSN) finds unique and special application as compared
to the said networks because sensors are deployed in a very secret, awkward and hostile environment like
battle field etc. Various wireless sensor nodes are interconnected and form a Wireless Sensor Network.
Sensor nodes once deployed in a region, cant be repaired thus the power system deployed in the nodes
becomes a major key issue i.e. how long its battery life can be utilised. Another major issue of WSN is to
have a more secured network which is a function of hash keys. Increase usage of hash key means
enhanced security but at the cost of power and area. Sensor systems must utilize the minimal possible
energy while operating over secured and wide range of operating scenarios. In this paper, we have
proposed a novel ID matching mechanism that uses a Bloom filter to realize wake-up wireless
communication. Paper uses hash function for uniquely recognizing particular sensor- node- cluster
among all clusters. Paper also shows the effect of number of hash functions on performance of wireless
sensor node. The design and implementation of a wireless wake-up receiver module simulation reveals
that proposed model consume 724nW dynamic power and with bloom filter, the proposed model
consumes dynamic power 85% less than the consumption cited in Takiguchi model
[1]
. Dynamic power
is further reduced by 10% when parallel processing is implemented. Finally paper provides a novel
approach to save the dynamic power and subsequently increases the battery life of wireless sensor node
and network as a whole.
Next generation network will consist of different types of wireless networks like WSN, Wi-Fi, WiMAX,
UMTS, LTE and etc. Wireless Sensor Network (WSN) finds unique and special application as compared
to the said networks because sensors are deployed in a very secret, awkward and hostile environment like
battle field etc. Various wireless sensor nodes are interconnected and form a Wireless Sensor Network.
Sensor nodes once deployed in a region, cant be repaired thus the power system deployed in the nodes
becomes a major key issue i.e. how long its battery life can be utilised. Another major issue of WSN is to
have a more secured network which is a function of hash keys. Increase usage of hash key means
enhanced security but at the cost of power and area. Sensor systems must utilize the minimal possible
energy while operating over secured and wide range of operating scenarios. In this paper, we have
proposed a novel ID matching mechanism that uses a Bloom filter to realize wake-up wireless
communication. Paper uses hash function for uniquely recognizing particular sensor- node- cluster
among all clusters. Paper also shows the effect of number of hash functions on performance of wireless
sensor node. The design and implementation of a wireless wake-up receiver module simulation reveals
that proposed model consume 724nW dynamic power and with bloom filter, the proposed model
consumes dynamic power 85% less than the consumption cited in Takiguchi model
[1]
. Dynamic power
is further reduced by 10% when parallel processing is implemented. Finally paper provides a novel
approach to save the dynamic power and subsequently increases the battery life of wireless sensor node
and network as a whole.
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