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i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Cited

A Review on Optimized FFT/IFFT Architectures for OFDM Systems
Balanced Unequal Clustering AlgorithmFor Wireless Sensor Network
HHT and DWT Based MIMO-OFDM for Various ModulationSchemes: A Comparative Approach
Study and Comparison of Distributed Energy Efficient Clustering Protocols in Wireless Sensor Network: A Review
Diagnosis of Anemia using Non-Invasive Anemia Detector through Parametrical Analysis

Volume 5 Issue 2 July - September 2016

Research Paper

Secure Energy Efficient LEACH (EE_LEACH) Protocol for Wireless Sensor Networks

A. Hima Bindu* , V. V. Rama Prasad**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

** Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

Bindu, A.H., and Prasad, V.V.R. (2016). Secure Energy Efficient LEACH (EE_LEACH) Protocol for Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 5(2), 1-9. https://doi.org/10.26634/jwcn.5.2.8169

Abstract

Wireless Sensor Network (WSN) is an infrastructureless network with large number of sensing nodes that can monitor areas such as physical or environmental conditions (i.e., temperature, sound, pressure) to collect and report data to the Base Station (BS). Networks face several challenges like energy, and power. Since the sensor nodes are not battery replaceable, the limited energy resource is a main challenge in facing security for WSNs. Hence, network lifetime becomes a major criteria and can be improved by energy efficient routing and secure energy efficient routing for WSN. Routing protocols that provides an effective design in data gathering are energy efficient cluster-based routing protocols. The existing approach (EE-LEACH) provides a WSN with less energy consumption. However, it concentrates mainly in energy resource, but lacks in providing security resources to the network. This paper presents a proposed Energy Efficient LEACH protocol using lightweight secure LEACH (LS_LEACH), where a broadcast authentication algorithm is integrated to produce authenticity. Moreover, the experimental results show the development of proposed EE_LEACH protocol and existing protocol in terms of system throughput, energy consumption and network lifetime. It is obviously shown that the proposed method will provide better network performance and improves the network lifetime.

References

[1]. Y Yao, Q Cao & AV Vasilakos, (2013). “EDAL: An Energy- Efficient, Delay-Aware, and Lifetime-Balancing Data th Collection Protocol for Wireless Sensor Networks”. IEEE 10 International Conference on Mobile Ad-Hoc and Sensor Systems (MASS), pp.182-190.

[2]. L Xiang, J Luo, & A Vasilakos, (2011). “Compressed data aggregation for energy efficient wireless sensor networks”. IEEE International Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), pp.46-54.

[3]. N. Chilamkurti, S. Zeadally & A Vasilakos, (2009). “Cross-layer support for energy efficient routing in wireless sensor networks”. Journal on Sensor Networks, pp.1-9.

[4]. X-Y Liu, Y Zhu, L Kong, C Liu, & Y Gu, AV Vasilakos, et al., (2014). “CDC: Compressive Data Collection For Wireless Sensor Networks”. IEEE Transactions on Parallel and Distributed Systems, Vol.26, No.8, pp.2188-2197.

[5]. Y-h Zhu, W. W-d, J. Pan & T. Y-p, (2010). “An energyefficient data gathering algorithm to prolong lifetime of wireless sensor networks”. Journal on Computational Communication, Vol.33, pp.639-647.

[6]. X. Min, S. Wei-Ren, J. Chang-Jiang, & Z. Ying, (2010). “Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks”. International journal on Electronic Communications, Vol.64, pp.289-298.

[7]. D. Karaboga, S. Okdem & C. Ozturk, (2012). “Cluster based wireless sensor network routing using artificial bee colony algorithm”. Journal on Wireless Networks, Vol.18, pp.847-860.

[8]. J. Yuea, W. Zhang, W. Xiao, & D. Tang, (2012). “Energy efficient and balanced cluster-based data aggregation algorithm for wireless sensor networks”. Proceedings of Engineering, Vol.29, pp.2009-2015.

[9]. M. Guechari, L. Mokdad & S. Tan, (2012). “Dynamic solution for detecting denial of service attacks in wireless sensor networks”. IEEE ICC Ad-hoc and Sensor Networking Symposium, Ottawa, ON, Canada, pp.173-177.

[10]. Bai Li & L. Batten, (2007). “Using Mobile Agents to Detect Node Compromise in Path-Based DoS Attacks on Wireless Sensor Networks”. Wireless Communications, Networking and Mobile Computing, International Conference, Shanghai, China, pp.2507-2510.

[11]. L. Gheorghe, R. Rughinis, R. Deaconescu,& N. Tapus, (2010). “Authentication and Anti-replay Security Protocol for Wireless Sensor Networks”. 2010 Fifth International Conference on Systems and Networks Communications (ICSNC), pp.7-13.

[12]. Mohamed Ben Haj Frej, & Khaled M. Elleithy, (2015). “Secure Data Aggregation Model (SDAM) in Wireless Sensor Networks”. International Conference Paper on Network Security.

[13]. L. B. Oliveira, H. C. Wong, M. Bern, R. Dahab, &A. A. Loureiro, (2006). “SecLEACH-A random key distribution solution for securing clustered sensor networks”. Fifth IEEE International Symposium on Network Computing and Applications, NCA 2006, pp.145-154.

[14]. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, (2000). “Energy efficient communication protocol for wireless and microsensor networks”. International Conference on System Sciences, Maui, Hawaii, pp.1-10.

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Research Paper

An Energy Efficient Routing Protocol in Wireless Sensor Network

Harjeet Kaur* , Beant Kaur**

* Postgraduate, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

** Assistant Professor, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

Kaur, H., and Kaur, B. (2016). An Energy Efficient Routing Protocol in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 5(2), 10-16. https://doi.org/10.26634/jwcn.5.2.8170

Abstract

Wireless Sensor Network is one of the vast areas of research for scholars. In this, energy consumption is a major problem and various protocols are applied till date to reduce it. The main purpose of this paper is to study some of the protocols such as direct transmission, MTE and LEACH. Nowadays, LEACH is a focused area to gain better results. So much research has already been done in this field, but still a lot more can be done to improve the overall performance. After analyzing all these, the authors have tried to decrease the power consumption of WSN using LEACH protocol. The experimental results show that there is an improvement in all parameter terms and more rounds have been energized when compared to basic LEACH. Simulation of the improved LEACH has been carried out on MATLAB and results have been verified and compared with parameters such as dead nodes, alive nodes, sending packets to Cluster Head or base station, etc.

References

[1]. Neha Kaushik and Deepika Dahiya, (2014). “QOS improvement for LEACH protocol in Wireless Sensor Network”. International Journal of Computer Application and Technology, pp.38-41.

[2]. D. Mahmood, N. Javaid, S. Mahmood, S. Qureshi, A. M. Memon and T. Zaman, (2013). “MODLEACH: A Variant of LEACH for WSNs”. 2013 Eighth International Conference on Broadband, Wireless Computing, Communication and Applications IEEE, pp.158-163.

[3]. Rajendra Prasad Mahapatra, (2015). “Descendant of LEACH Based Routing Protocols in Wireless Sensor Networks”. Procedia Computer Science 57, Elsevier, pp.1005-1014.

[4]. WafaAkkaria, Badia Bouhdida and Abdelfettah Belghith, (2015). “LEATCH: Low Energy Adaptive Tier Clustering Hierarchy”. Procedia Computer Science 52, Elsevier, pp.365-372.

[5]. Ankit Solanki and Niteen B. Patel, (2013). “LEACH-SCH: An Innovative Routing Protocol for Wireless Sensor th Network”. 4 ICCCNT (IEEE), Tiruchengode.

[6]. Khushboo Pawar, Vishal Pawar and Tilotma Sharma, (2013). “Enhancement of LEACH Protocol Using Energy Heterogeneity Concept”. International Journal of Emerging Trends & Technology in Computer Science, Vol.2, No.1, pp.49-56.

[7]. Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, (2000). “Energy- Efficient Communication Protocol for Wireless rd Microsensor Networks”. Proceedings of the 33 Hawaii International Conference on System Sciences IEEE, pp.1- 10.

[8]. Shalli Rania, Jyoteesh Malhotrab and Rajneesh Talwar, (2015). “Energy efficient chain based cooperative routing protocol for WSN”. Applied Soft Computing 35, Elsevier, pp.386-397.

[9]. Saeid Mottaghia and Mohammad Reza Zahabi, (2015). “Optimizing LEACH clustering algorithm with mobile sink andrendezvous nodes”. Int. J. Electron. Commun. (AEÜ) 69 Elsevier, pp.507-514.

[10]. De-gan Zhang, Xiao-dong Song, Xiang Wang and Yuan-ye Ma, (2015). “Extended AODV routing method based on distributed minimum transmission (DMT) for WSN”. Int. J. Electron. Commun. (AEÜ) 69 Elsevier, pp.371- 381.

[11]. Shilpa Mahajan, Jyoteesh Malhotra and Sandeep Sharma, (2014). “An energy balanced QoS based cluster headselection strategy for WSN”. Egyptian Informatics Journal 15 Elsevier, pp.189-199.

[12]. Meenakshi Tripathi, M.S. Gaur and V. Laxmi, (2013). “Comparing the Impact of Black Hole and Gray Hole Attack on LEACH in WSN”. Procedia Computer Science 19, Elsevier, pp.1101-1107.

[13]. Harjeet Kaur, and Beant Kaur, (2016). “Improved LEACH protocol in wireless sensor networks”. (Unpublished Master's Thesis) Punjabi University, Patiala.

[14]. Elkamel Rabiaaa, Baccar Nourab, and Cherif Adnene, (2015). “Improvements in LEACH based on Kmeans and Gauss algorithms”. Procedia Computer Science 73, Elsevier, pp.460-467.

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Research Paper

A Route Weight Assignment Method for Predictive Congestion Control in WSN

Shaik Nasrin* , N. Sai Lohitha**

* Postgraduate, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

Nasrin, S., and Lohitha, N.S. (2016). A Route Weight Assignment Method for Predictive Congestion Control in WSN. i-manager's Journal on Wireless Communication Networks, 5(2), 17-23. https://doi.org/10.26634/jwcn.5.2.8171

Abstract

Wireless Sensor Network is a self configurable network with densely deployed sensor nodes. These sensor nodes cooperatively communicate each other and monitor the conditions of the physical environment and is restricted to bandwidth, memory, energy, etc. In Wireless Sensor Network, when an event is detected, the node senses and become active in gathering and data transmission, which cause congestion and results in a large number of packet drops, low throughputs, high energy consumption with a significant amount of wasted energy due to retransmission and increased delay. This paper presents the congestion prediction using probabilistic methods and congestion control using rate control. The rate controlling methods uses the allocation of rate mechanisms are namely rate regulation, rate reduction and split protocol to minimize packet drops, energy consumption of nodes and improve queue utilization, throughput. Each and every method has its own advantages and disadvantages. The SP has a limitation of packet delay while considering the neighbor nodes. To overcome the limitation, a route weight assignment method is proposed. The proposed method is implementing by using Ns2.

References

[1]. Annie Uthra, and R., Kasmir Raja, S.V (2011). “PACC: probabilistic approach for congestion control in Wireless Sensor Network”. CiiT International Journal on Wireless Communications, Vol.3, No.14, pp.985-990.

[2]. Mohamed Ebada and Hussein Mouftah, (2011). “Traffic splitting protocol for muitipath routing in Wireless Sensor Networks”. IEEE GLOBECOM Workshops.

[3]. Wang, C., Sohraby, K., Lawrence, V., Li, B., and Hu. Y., (2006). “Priority-based congestion control in Wireless Sensor Networks”. Proc. of the IEEE Int. Conf. on Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC'06).

[4]. Jenn-Yue, T., Ha, Y., Tham, & Chen-Khong, T., (2008). “ Inter ference-minimized multipath routing with congestion control in Wireless Sensor Network for high-rate streaming”. IEEE Trans. Mobile Comput., Vol.7, No.9, pp.1124-1137.

[5]. Zawodniok, M., and Jagannathan, S. (2007). “Predictive congestion control protocol for Wireless Sensor Networks”. IEEE Trans. Wirel. Commun, Vol.6, No.11, pp.3955-3963.

[6]. Ren, F., He, T., Das, S.K., and Lin, C. (2011). “Trafficaware dynamic routing to alleviate congestion in Wireless Sensor Networks”. IEEE Trans. Parallel Distrib. Syst, Vol.22, No.9, pp.1585-1599.

[7]. Wan, C.-Y., Eisenman, S.B., and Campbell, A.T. (2003). “CODA: Congestion Detection and Avoidance in Sensor Networks”. Proc. First ACM Conf. Embedded Networked Sensor Systems (SenSys '03), pp.266-279.

[8]. C. Wang, & B. Li, (2007). “Upstream Congestion Control in Wireless Sensor Networks Through Cross-Layer Optimization”. IEEE Journal on Selected Areas in Communications, Vol.25, No.4.

[9]. Xiaoyan Yin, Xingshe Zhou, et.al. (2009). “A Fairness- Aware Congestion Control Scheme in Wireless Sensor Networks”. IEEE Transactions on Vehicular Technology, Vol.58, No.9.

[10]. M.I. Khan, W.N. Gansterer, and G. Haring, (2007). “Congestion avoidance and energy efficient routing protocol for Wireless Sensor Networks with a mobile sink”. J. Netw., Vol.2, No.6, pp.42-49.

[11]. Y.-M. Liu & X.-H. Jiang, (2009). “An extended DCCP congestion control in Wireless Sensor Networks”. Int. Workshop Intell. Syst. Appl., pp.1-4.

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Research Paper

Enhanced Dynamic Route Adjustment Scheme in Wireless Sensor Networks

D. Ganesh* , S. Nagalingeswari**

* Assistant Professor, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India.

** PG Scholar, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India.

Ganesh, D., and Nagalingeswari, S. (2016). Enhanced Dynamic Route Adjustment Scheme in Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 5(2), 24-29. https://doi.org/10.26634/jwcn.5.2.8172

Abstract

Wireless Sensor Network is the application of ad-hoc network. Wireless Sensor Network has several nodes which consists of mobility and more than one base stations. Wireless Sensor Network having a dynamic nature. Mobility of sensor nodes is a challenging task in the networks. Data distribution to a mobile sink is more difficult than to rest of the nodes in the sensor network. If the path is failed, then another route should be selected which is the shortest and best route for efficient data delivery. In the existing work, virtual grid dynamic route adjustment scheme deals with the selection of best path whenever the path fails. It reduces the cost of the selected path by selecting the required hops. In the proposed work, Distance enhanced grid routing algorithm is used to select the new path by selecting the limited number of hops than the existing method. Here, the authors have been providing security from attacker by using asymmetric cryptographic algorithm for efficient data delivery in a shortest distance.

References

[1]. Chen. T, Tsai. H, Chang. Y and Chen. T, (2013). “Geographic converge cast using mobile sink in Wireless Sensor Networks”. Comput. Commun., Vol.36, No.4, pp.445-458.

[2]. Erman. A, Dilo. A, and Havinga. P, (2012). “A virtual infrastructure based on honeycomb tessellation for data dissemination in multi-sink mobile Wireless Sensor Networks”. EURASIPJ. Wireless Commun. Netw., Vol.2012, No.17, pp.1-54.

[3]. Oh. S, Lee. E, Park. S, Jung. J, and Kim. S, (2010). “Communication scheme to support sink mobility in multith hop clustered Wireless Sensor Networks”. in Proc. 24 IEEE Int. Conf. Adv. Inf. Netw. Appl., pp.866-872.

[4]. Mir. Z and Ko. Y, (2006). “A quadtree-based data dissemination protocol for Wireless Sensor Networks with mobile sinks”. In Proc. Personal Wireless Commun., pp.447-458.

[5]. Chen. X and Xu. M, (2003). “A geographical cellularlike architecture for Wireless Sensor Networks”. in Proc. Mobile Ad-Hoc Sensor Netw., pp.249-258.

[6]. Khan. A, Abdullah. A, Razzaque, and Javed. M, Bangash. I, (2015). “Grid Routing: A Virtual Gridbased dynamic routes adjustment scheme for mobile sinkbased Wireless Sensor Networks”. IEEE Sensors Journal, Vol.15, No.1.

[7]. Heinzelman. W, Chandrakasan. A, and Balakrishnan. H, (2000). “Energy efficient communication protocol for wireless microsensor networks”. Hawaii Int. Conf. Syst. Sci, Proc. 33 Annu.

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Review Paper

Distance based LEACH Protocol in Wireless Sensor Network

Urvashi Pathania*

Assistant Professor, Department of Computer Science and Information Technology, HMV College, Jalandhar, India.

Pathania, U. (2016). Distance based LEACH Protocol in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 5(2), 30-37. https://doi.org/10.26634/jwcn.5.2.8173

Abstract

Wireless Sensor Networks are composed of innumerable little accuse, low control devices with sense, local processing and wireless communication capabilities. Minimizing energy expenditure and maximizing the networks natural life are considerable issues in the devise of routing protocol for sensor networks. In this paper, the author has analyzed the competence of LEACH protocol in extending the subsistence for energy-constrained Wireless Sensor Networks. Based on LEACH protocol, a new text of LEACH protocol distance based leach protocol that is to be energy consumption protocol in Wireless Sensor Network is surveyed.

References

[1]. Y. Zhao, R. Govindan and D. Estrin, (2002). “Residual energy scan for monitoring sensor networks”. Wireless Communications and Networking Conference, (WCNC2002), IEEE, Vol.1, No.17-21, pp.356-362.

[2]. A.K. Somani, S. Kher, P. Speck and J. Chen, (2010). “Distributed Dynamic Clustering Algorithm in Uneven Distributed Wireless Sensor Network”. Vol.2, pp.258-289.

[3]. S. Tarun, S. Harsukh and S. Anurag, (2015). “Energy optimization of hirerarchical Wireless Sensor Network using RFID Algorithm”. International Journal of Grid Distribution Computing, Vol.8, No.6, pp.239-246.

[4]. J.C. Chen, L. Yip, J. Elson, H. Wang, D. Maniezzo, R.E. Hudson, K. Yao, and D. Estrin, (2003). “Coherent acoustic array processing and localization on Wireless Sensor Networks”. In Proceeding of the IEEE, Vol.91, No.8, pp.1154-1162.

[5]. V. Potdar, A. Sharif, and E. Chang, (2009). “Wireless Sensor Networks: A Survey”. International Conference on Advanced Information Networking and Applications Workshops, IEEE Computer Society, pp.636-641.

[6]. F. Akyildiz, Weilian Su and Y. Sankarasubramaniam, (2002). “A survey on Sensor Networks”. IEEE Communications Magazine, pp.102-114.

[7]. Mamalis Basilis, (2009). “Clustering in Wireless Sensor Networks”. RFID and Sensor Networks, pp.323.

[8]. Ian F. Akyildiz, Weilian Su, Y. Sankarasubramaniam, and Erdal Cayirci, (2002). “A survey on Sensor Networks”. ELSEVIER, Computer Networks, pp.393-422.

[9]. Aminian M, Naji HR, (2013). “A Hospital Healthcare Monitoring System Using Wireless Sensor”. J Health Med Inform, Vol.4, No.2, doi:10.4172/2157-7420.1000121.

[10]. S.K. Singh, M.P. Singh, and D.K. Singh, (2010). “Routing protocols in Wireless Sensor Network- A survey”. Int. Journal of Computer Science & Engineering Survey (IJCSES), Vol.1, No.2.

[11]. S.K. Singh, (2010). “A Survey of Energy-Efficient Hierarchical Cluster-Based Routing in Wireless Sensor Networks”. Int. Journal of Advanced Networking and Applications, Vol.2, No.2, pp.570-580.

[12]. X. Du and F. Lin, (2005). “Improving Routing in Sensor Networks with Heterogeneous Sensor”. Proceeding of IEEE, VTC'05, Dallas, TX, pp.2528-2532.

[13]. B. Baranidharan, (2010). “A Survey on Energy Efficient Protocols for Wireless Sensor Networks”. Int. Journal of Comp. App. Vol.11, No.10, pp.35-40.

[14]. K. Akkaya and M. Younis, (2003). “An Energy-Aware QoS Routing Protocol for Wireless Sensor Networks”. Proceedings of IEEE Workshops on Mobile and Wireless Networks (MWN 2003), Providence Rhode Island.

[15]. A. Cerpa, J. Elson, M. Hamilton and J. Zhao, (2001). “Habitat monitoring: application driver for wireless communications technology”. ACM SIGCOMM' 2000, Costa Rica.

[16]. Shio Kumar Singh and Mp Singh, (2010). “Routing protocols in WSN”. International Journal of Computer Science and Engineering, Vol.1, No.2.

[17]. S. Pant, N. Chauhan and P. Kumar, (2010). “Effective Cache based Policies in Wireless Sensor Network : A Survey”. Int. J. Comput. Appl., Vol.11, No.10, pp.17-21.

[18]. R. Sumathi and M. G. Srinivas, (2012). “A Survey of QoS Based Routing Protocols for Wireless Sensor Networks”. J. Inf. Process. Syst., Vol.8, No.4, pp.589-602.

[19]. A. Norouzi and A. H. Zaim, (2012). “An Integrative Comparison of Energy Efficient routing protocols Protocols in Wireless Sensor Network”. Wireless Sensor Networks, Vol.4, pp.65-75.

[20]. Yassein, (2009). “Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH)”. International Journal of Digital Content Technology and its Application, Vol.3, pp.132-136.

[21]. D. Xu and J. Gao, (2011). “Comparison Study to Hierarchical Routing Protocols in Wireless Sensor rd Networks”. Proceeding of 3 International Conference on Environmental science and Information Technology, Vol.10, pp.595-600.

[22]. S. Tarun, S. Harsukh, and S. Anurag, (2016). “Simulation based Analysis of cluster-based protocol in WSN”. International Journal of Next-Generation Networks (IJNGN), Vol.8, No.1.

i-manager's Journal on Wireless Communication Networks (JWCN)

Current Issue Vol. 13 Issue 1

Most Read

Most Cited

Volume 5 Issue 2 July - September 2016

Secure Energy Efficient LEACH (EE_LEACH) Protocol for Wireless Sensor Networks

A. Hima Bindu* , V. V. Rama Prasad**

* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India. ** Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

Bindu, A.H., and Prasad, V.V.R. (2016). Secure Energy Efficient LEACH (EE_LEACH) Protocol for Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 5(2), 1-9. https://doi.org/10.26634/jwcn.5.2.8169

Abstract

References

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An Energy Efficient Routing Protocol in Wireless Sensor Network

Harjeet Kaur* , Beant Kaur**

* Postgraduate, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India. ** Assistant Professor, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

Kaur, H., and Kaur, B. (2016). An Energy Efficient Routing Protocol in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 5(2), 10-16. https://doi.org/10.26634/jwcn.5.2.8170

Abstract

References

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A Route Weight Assignment Method for Predictive Congestion Control in WSN

Shaik Nasrin* , N. Sai Lohitha**

* Postgraduate, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India. ** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

Nasrin, S., and Lohitha, N.S. (2016). A Route Weight Assignment Method for Predictive Congestion Control in WSN. i-manager's Journal on Wireless Communication Networks, 5(2), 17-23. https://doi.org/10.26634/jwcn.5.2.8171

Abstract

References

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Enhanced Dynamic Route Adjustment Scheme in Wireless Sensor Networks

D. Ganesh* , S. Nagalingeswari**

* Assistant Professor, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India. ** PG Scholar, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India.

Ganesh, D., and Nagalingeswari, S. (2016). Enhanced Dynamic Route Adjustment Scheme in Wireless Sensor Networks. i-manager's Journal on Wireless Communication Networks, 5(2), 24-29. https://doi.org/10.26634/jwcn.5.2.8172

Abstract

References

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Distance based LEACH Protocol in Wireless Sensor Network

Urvashi Pathania*

Assistant Professor, Department of Computer Science and Information Technology, HMV College, Jalandhar, India.

Pathania, U. (2016). Distance based LEACH Protocol in Wireless Sensor Network. i-manager's Journal on Wireless Communication Networks, 5(2), 30-37. https://doi.org/10.26634/jwcn.5.2.8173

Abstract

References

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* PG Scholar, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

** Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.

* Postgraduate, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

** Assistant Professor, Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India.

* Postgraduate, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

* Assistant Professor, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India.

** PG Scholar, Department of Computer Science and Engineering, Sree Vidhyanikethan Engineering College, Tirupathi, India.