scholarly journals AN ANALYTICAL REVIEW ON WIRELESS SENSOR CLUSTERING FOR THE PROLONG NETWORK LIFE TIME

2017 ◽  
Vol 8 (9) ◽  
pp. 541-548
Author(s):  
Navdeep Kumar Chopra ◽  
Keyword(s):  
Life Time ◽  
Wireless Sensor ◽  
Analytical Review ◽  
Network Life Time ◽  
Sensor Clustering

Study on Improving the Network Life Time Maximazation for Wireless Sensor Network using Cross Layer Approach

2016 ◽  
Vol 6 (6) ◽  
pp. 3080 ◽  
Author(s):  
Rajiv R Bhandari ◽  
K Rajasekhar
Keyword(s):  
Energy Consumption ◽  
Scheduling Algorithm ◽  
Routing Algorithm ◽  
Life Time ◽  
Packet Transmission ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Main Task ◽  
Network Life Time

<p>In recent the espousal of Wireless Sensor Networks has been broadly augmented in numerous divisions. Battery operated Sensor nodes in the wireless network accomplish main task of capturing and responding to the surroundings. The lifetime of the network depends on the energy consumption of the sensor nodes. This paper contributes the survey on how the energy consumption should be managed for maximizing the life time of network and how to improve the efficiency of Network by using Cross layer architecture. The traditional MAC Layer, Network Layer &amp; Transport for WLAN having their own downsides just by modifying those we can achieve the network life time maximization goal. This paper represents analytical study for Energy efficiency by modifying Scheduling algorithm, by modifying traditional AODV routing algorithm for efficient packet transmission and by effectively using TCP for End to End Delivery of Data.</p>

scholarly journals A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985823 ◽  
Author(s):  
Mohammad Z Masoud ◽  
Yousef Jaradat ◽  
Ismael Jannoud ◽  
Mustafa A Al Sibahee
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Life Time ◽  
Wireless Sensor ◽  
Sink Node ◽  
Hybrid Clustering ◽  
Detection Process ◽  
Network Life Time ◽  
Hole Detection

In this work, a new hybrid clustering routing protocol is proposed to prolong network life time through detecting holes and edges nodes. The detection process attempts to generate a connected graph without any isolated nodes or clusters that have no connection with the sink node. To this end, soft clustering/estimation maximization with graph metrics, PageRank, node degree, and local cluster coefficient, has been utilized. Holes and edges detection process is performed by the sink node to reduce energy consumption of wireless sensor network nodes. The clustering process is dynamic among sensor nodes. Hybrid clustering routing protocol–hole detection converts the network into a number of rings to overcome transmission distances. We compared hybrid clustering routing protocol–hole detection with four different protocols. The accuracy of detection reached 98%. Moreover, network life time has prolonged 10%. Finally, hybrid clustering routing protocol–hole detection has eliminated the disconnectivity in the network for more than 80% of network life time.

scholarly journals ENERGY-AWARE SECURITY ROUTING PROTOCOL FOR WSN IN BIG-DATA APPLICATIONS

2019 ◽  
Vol 01 (01) ◽  
pp. 39-55 ◽  
Author(s):  
Smys S
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Routing Protocol ◽  
Life Time ◽  
Wireless Sensor ◽  
Data Generation ◽  
Energy Aware ◽  
Security Issues ◽  
Network Latency ◽  
Network Life Time

The dense deployment of the wireless sensor networks has caused enormous data flow leading to a Big-Data generation. To enable a continuous transmission for the huge volume of data packets, it becomes necessary to readapt the routing protocol to facilitate the routing in handling the Big-data scenario. Since energy is the main constraint in the wireless sensor network, as the sensor are battery powered, and the routing methods consuming enormous of the energy for route discovery thereby reducing the network life time, many conventional methods were developed to address the problem of energy consumption with the, increased network latency, overhead, security issues and delay. So the paper proposes the energy-aware routing protocol that could handle the security issues, arising in the enormous data generation satisfying the QOS requirements. The node with substantial resources are selected to overcome the problems of energy consumption and the network life time handling the security issues , delay, network latency and the overhead problem. Further validation of the proposed method in the Network Simulator-3 is performed to evaluate the network latency, packet delivery ratio, throughput, power consumption, network lifetime and Cost.

scholarly journals LEVEL PARTITIONING OF NODES TO ENHANCE THE NETWORK LIFETIME DURING INTRUSION DETECTION IN WIRELESS SENSOR NETWORKS

2013 ◽  
pp. 21-26
Author(s):  
A. BABU KARUPPIAH ◽  
KEERTHINATH KEERTHINATH ◽  
M. KUNDRU MALAI RAJAN ◽  
K.ASHIF ISMAIL SHERIFF ◽  
S. RAJARAM
Keyword(s):  
Sensor Networks ◽  
Intrusion Detection ◽  
Cluster Head ◽  
Life Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Efficient Operation ◽  
Network Life Time ◽  
Power Capability

A Wireless Sensor Network (WSN) consists of many sensor nodes with low cost and power capability Based on the deployment, in the sensing coverage of a sensor node, typically more nodes are covered. A major challenge in constructing a WSN is to enhance the network life time. Nodes in a WSN are usually highly energy-constrained and expected to operate for long periods from limited on-board energy reserves. To permit this, nodes and the embedded software that they execute – must have energy-aware operation. Because of this, continued developments in energy-efficient operation are paramount, requiring major advances to be made in energy hardware, power management circuitry and energy aware algorithms znd protocols. During Intrusion Detection in sensor networks, some genuine nodes need to communicate with the Cluster Head to inform about the details of malicious nodes. For such applications in sensor networks, a large number of sensor nodes that are deployed densely in specific sensing environment share the same sensing tasks. Due to this, the individual nodes might waste their energy in sensing data that are not destined to it and as a result the drain in the energy of the node is more resulting in much reduced network life time. In this paper, a novel algorithm is developed to avoid redundancy in sensing the data thereby enhancing the life time of the network. The concept of Power Factor bit is proposed while a node communicates with the Cluster Head. The simulation results show that the network life time is greatly enhanced by the proposed method.

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