Deepali
@Gncbudhlada.org
Assistant Professor, Department of Computer Science
Guru Nanak College Budhlada
RESEARCH INTERESTS
Bioinformatics, Cancer
Scopus Publications
Scopus Publications
Diksha Sharma, Deepali, Vivek Kumar Garg, Dharambir Kashyap, and Neelam Goel
Springer Science and Business Media LLC
Deepali, Neelam Goel, and Padmavati Khandnor
Elsevier BV
Sandeep Kaur and Deepali
IEEE
In these days Wireless Sensor Network (WSN) broadly utilized as a part of building decision support system for monitoring and controlling different environmental parameter. One of the most fascinating fields having an expanding need of decision support system is agriculture. The superiority of WSN in agriculture is due to several reasons like high performance, increasing the production while decreasing cost, low-power consumption and collected distributed data. In this paper, the proposed Automated Irrigation System (AIS) is useful to sense temperature, sunlight, humidity, pH and groundwater in the field and take decision of water requirements based on results.
Ankita Singla and Deepali
Springer Singapore
Harpinder Kaur and Deepali Goyal
IEEE
Underwater Wireless Sensor Network (UWSN) is emerging lots of attention due to its various types of characteristics and applications. Distinctive underwater characteristics leads to many challenges such as-high propagation delay, data losses, nodes mobility, localization, nodes deployment while designing any reliable and efficient routing protocol. In this paper, an extension of CDBR (Forwarding nodes Constraint based Depth Based Routing) protocol is proposed named LCDBR (Link state and Forwarding nodes Constraint based Depth Based Routing). In this protocol, packets are sent through the optimal path towards sink because no. of sinks is placed on the surface of water. Also, in multihop transmission forwarding nodes are constrained to only one for energy conservation. Simulations results are conducted through MATLAB which shows that the protocol outperforms CDBR protocol in terms of energy efficiency, packet throughput and end to end delay.
Gagandeep Kaur, Deepali, and Rekha Kalra
IEEE
Sensor nodes collect the data from the environment and send to sink. But attackers corrupt data while transmitting therefore data security is main concern of wireless sensor network (WSN). In proposed protocol, we decrease the passive attack on sink node by decreasing the traffic on sink node. The simulation results demonstrates the proposed method can each node will compress their data before sending to cluster head. After compressing, the packet size of node will decrease. This will decrease the traffic overload. In this compression technique, we reduce the size of packet by creating a code string of 0 and 1.
Deepali and Padmavati
IEEE
Sensor nodes work on batteries which are difficult to recharge and this makes energy proficiency as a main issue. One of the good solutions to this problem is clustering. Energy efficiency semi-static clustering (EESSC) protocol is an energy aware semi-static clustering protocol in which clustering is done based upon remaining energy. It considers all nodes in static mode. In this paper, a new routing protocol based on sink mobility i.e. improved EESSC (IEESSC) is proposed. This protocol is simulated and compared with EESSC and LEACH based on parameters stability period, network lifetime and middle node death (MND). Simulation results show that proposed protocol has better results than EESSC and LEACH.