995 research outputs found
M-GEAR: Gateway-Based Energy-Aware Multi-Hop Routing Protocol for WSNs
In this research work, we advise gateway based energy-efficient routing
protocol (M-GEAR) for Wireless Sensor Networks (WSNs). We divide the sensor
nodes into four logical regions on the basis of their location in the sensing
field. We install Base Station (BS) out of the sensing area and a gateway node
at the centre of the sensing area. If the distance of a sensor node from BS or
gateway is less than predefined distance threshold, the node uses direct
communication. We divide the rest of nodes into two equal regions whose
distance is beyond the threshold distance. We select cluster heads (CHs)in each
region which are independent of the other region. These CHs are selected on the
basis of a probability. We compare performance of our protocol with LEACH (Low
Energy Adaptive Clustering Hierarchy). Performance analysis and compared
statistic results show that our proposed protocol perform well in terms of
energy consumption and network lifetime.Comment: IEEE 8th International Conference on Broadband and Wireless
Computing, Communication and Applications (BWCCA'13), Compiegne, Franc
Energy Consumption Rate based Stable Election Protocol (ECRSEP) for WSNs
In recent few yearsWireless Sensor Networks (WSNs) have seen an increased
interest in various applications like border field security, disaster
management and medical applications. So large number of sensor nodes are
deployed for such applications, which can work autonomously. Due to small power
batteries in WSNs, efficient utilization of battery power is an important
factor. Clustering is an efficient technique to extend life time of sensor
networks by reducing the energy consumption. In this paper, we propose a new
protocol; Energy Consumption Rate based Stable Election Protocol (ECRSEP). Our
CH selection scheme is based on the weighted election probabilities of each
node according to the Energy Consumption Rate (ECR) of each node. We compare
results of our proposed protocol with Low Energy Adaptive Clustering Hierarchy
(LEACH), Distributed Energy Efficient Clustering (DEEC), Stable Election
Protocol (SEP), and Enhanced SEP(ESEP). Our simulation results show that our
proposed protocol, ECRSEP outperforms all these protocols in terms of network
stability and network lifetime
HEER: Hybrid Energy Efficient Reactive Protocol for Wireless Sensor Networks
Wireless Sensor Networks (WSNs) consist of numerous sensors which send sensed
data to base station. Energy conservation is an important issue for sensor
nodes as they have limited power.Many routing protocols have been proposed
earlier for energy efficiency of both homogeneous and heterogeneous
environments. We can prolong our stability and network lifetime by reducing our
energy consumption. In this research paper, we propose a protocol designed for
the characteristics of a reactive homogeneous WSNs, HEER (Hybrid Energy
Efficient Reactive) protocol. In HEER, Cluster Head(CH) selection is based on
the ratio of residual energy of node and average energy of network. Moreover,
to conserve more energy, we introduce Hard Threshold (HT) and Soft Threshold
(ST). Finally, simulations show that our protocol has not only prolonged the
network lifetime but also significantly increased stability period.Comment: 2nd IEEE Saudi International Electronics, Communications and
Photonics Conference (SIECPC 13), 2013, Riyadh, Saudi Arabi
On Modeling Geometric Joint Sink Mobility with Delay-Tolerant Cluster-less Wireless Sensor Networks
Moving Sink (MS) in Wireless Sensor Networks (WSNs) has appeared as a
blessing because it collects data directly from the nodes where the concept of
relay nodes is becomes obsolete. There are, however, a few challenges to be
taken care of, like data delay tolerance and trajectory of MS which is NP-hard.
In our proposed scheme, we divide the square field in small squares. Middle
point of the partitioned area is the sojourn location of the sink, and nodes
around MS are in its transmission range, which send directly the sensed data in
a delay-tolerant fashion. Two sinks are moving simultaneously; one inside and
having four sojourn locations and other in outer trajectory having twelve
sojourn locations. Introduction of the joint mobility enhances network life and
ultimately throughput. As the MS comes under the NP-hard problem, we convert it
into a geometric problem and define it as, Geometric Sink Movement (GSM). A set
of linear programming equations has also been given in support of GSM which
prolongs network life time
EMEEDP: Enhanced Multi-hop Energy Efficient Distributed Protocol for Heterogeneous Wireless Sensor Network
In WSN (Wireless Sensor Network) every sensor node sensed the data and
transmit it to the CH (Cluster head) or BS (Base Station). Sensors are randomly
deployed in unreachable areas, where battery replacement or battery charge is
not possible. For this reason, Energy conservation is the important design goal
while developing a routing and distributed protocol to increase the lifetime of
WSN. In this paper, an enhanced energy efficient distributed protocol for
heterogeneous WSN have been reported. EMEEDP is proposed for heterogeneous WSN
to increase the lifetime of the network. An efficient algorithm is proposed in
the form of flowchart and based on various clustering equation proved that the
proposed work accomplishes longer lifetime with improved QOS parameters
parallel to MEEP. A WSN implemented and tested using Raspberry Pi devices as a
base station, temperature sensors as a node and xively.com as a cloud. Users
use data for decision purpose or business purposes from xively.com using
internet.Comment: 6 pages, 4 figures. arXiv admin note: substantial text overlap with
arXiv:1409.1412 by other author
Improved Fair-Zone technique using Mobility Prediction in WSN
The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) has
led them to be the most popular choice in ubiquitous computing. Clustering
sensor nodes organizing them hierarchically have proven to be an effective
method to provide better data aggregation and scalability for the sensor
network while conserving limited energy. It has some limitation in energy and
mobility of nodes. In this paper we propose a mobility prediction technique
which tries overcoming above mentioned problems and improves the life time of
the network. The technique used here is Exponential Moving Average for online
updates of nodal contact probability in cluster based network.Comment: 10 pages, 7 figures, Published in International Journal Of Advanced
Smart Sensor Network Systems (IJASSN
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