Energy Efficient Cross Layer MAC Protocol for Wireless Sensor Networks in Remote Area Monitoring Applications
الموضوعات :
R Rathna
1
,
L Mary Gladence
2
,
J Sybi Cynthia
3
,
V Maria Anu
4
1 - Department of Information Technology, SRM Institute of Science and Technology, Ramapuram. India
2 - Department of Information Technology, Sathyabama Institute of Science and Technology, India
3 - Department of Computer Science and Engineering, School of Engineering, Saveetha Institute of Medical and Technical Sciences.India
4 - Department of Information Technology, Sathyabama Institute of Science and Technology, India
الکلمات المفتاحية: Clustering, Energy consumption, Load, Medium Access Control, Radio, Scheduling, Wireless Sensor Network,
ملخص المقالة :
Sensor nodes are typically less mobile, much limited in capabilities, and more densely deployed than the traditional wired networks as well as mobile ad-hoc networks. General Wireless Sensor Networks (WSNs) are designed with electro-mechanical sensors through wireless data communication. Nowadays the WSN has become ubiquitous. WSN is used in combination with Internet of Things and in many Big Data applications, it is used in the lower layer for data collection. It is deployed in combination with several high end networks. All the higher layer networks and application layer services depend on the low level WSN in the deployment site. So to achieve energy efficiency in the overall network some simplification strategies have to be carried out not only in the Medium Access Control (MAC) layer but also in the network and transport layers. An energy efficient algorithm for scheduling and clustering is proposed and described in detail. The proposed methodology clusters the nodes using a traditional yet simplified approach of hierarchically sorting the sensor nodes. Few important works on cross layer protocols for WSNs are reviewed and an attempt to modify their pattern has also been presented in this paper with results. Comparison with few prominent protocols in this domain has also been made. As a result of the comparison one would get a basic idea of using which type of scheduling algorithm for which type of monitoring applications.
[1] Jennifer Yick, Biswanath Mukherjee and Dipak Ghosal, “Wireless Sensor Network Survey” in Computer Networks, Elsevier, 2008, 52(12), 2292-2230.
[2] Wendi Rabiner Heinzelman, Anantha Chandrakasan, Hari Balakrishnan, “Energy Efficient Communication Protocol for Wireless Microsensor Networks” , Poceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, Hi, USA, 2000, Vol.2. pp.10.
[3] Al-Jemeli, Marwan, and F. Hussin, “An energy efficient cross-layer network operation model for IEEE 802.15. 4-based mobile Wireless sensor networks” in Sensors Journal, 2015, 15 (2) 684-692.
[4] Khan, RanaAzeem M., and Holger Karl, “Mac protocols for cooperative diversity in wireless lans and wireless sensor networks” in Communications Surveys & Tutorials, IEEE, 2015, 16(1), 46-63.
[5] Huang, Pei, et al., “The evolution of MAC protocols in wireless sensor networks: A survey” in Communications Surveys & Tutorials, IEEE. 2014, 15(1), 101-120.
[6] Doudou, Messaoud, DjamelDjenouri, and NadjibBadache, “Survey on latency issues of asynchronous mac protocols in delay-sensitive wireless sensor networks” in Communications Surveys & Tutorials, IEEE, 2013,15(2), 528-550.
[7] Akhlaq, Muhammad, and Tarek R. Sheltami, “RTSP: An accurate and energy-efficient protocol for clock synchronization in WSNs” in IEEE Transactions on Instrumentation and Measurement, 2013, 62(3), 578-589.
[8] Anastasi, Giuseppe, Marco Conti, and Mario Di Francesco, “A comprehensive analysis of the MAC unreliability problem in IEEE 802.15. 4 wireless sensor networks” in IEEE Transactions on Industrial Informatics, 2011, 7(1), 52-65.
[9] Di Francesco, Mario, et al. “Reliability and Energy-Efficiency inIEEE 802.15. 4/ZigBee Sensor Networks: An Adaptive and Cross-Layer Approach” in IEEE Journal on Selected Areas in Communications, 2011, 29(8), 1508-1524.
[10] Liu, Yuhua, et al., “Multi-layer clustering routing algorithm for wireless vehicular sensor networks” in IET communications, 2010, 4(7), 810-816.
[11] Shanti, Chilukuri, and AnirudhaSahoo, “DGRAM: a delay guaranteed routing and MAC protocol for wireless sensor networks” in IEEE Transactions on Mobile Computing, 2010, 9(10), 1407-1423.
[12] Chin, Kwan-Wu “Pairwise: a time hopping medium access control protocol for wireless sensor networks” in IEEE Transactions on Consumer Electronics, 2009, 55(4), 1898-1906.
[13] Choi, Sung-Chan, Seong-Lyong Gong, and Jang-Won Lee, “An average velocity-based routing protocol with low end-to-end delay for wireless sensor networks” in Communications Letters, 2009, IEEE. 13(8), 621-623.
[14] Hong, Sung-Hwa, and Hoon-ki Kim, “A multi-hop reservation method for end-to-end latency performance improvement in asynchronous MAC-based wireless sensor networks” in IEEE Transactions on Consumer Electronics, 2009, 55(3), 1214-1220.
[15] Du, Junzhao, and Weisong Shi, “App-MAC: An application-aware event-oriented MAC protocol for multimodality wireless sensor networks” in IEEE Transactions on Vehicular Technology, 2008, 57(6), 3723-3731.
[16] Kang, Kyungtae, Yongwoo Cho, and Heonshik Shin, “Energy-efficient MAC-layer error recovery for mobile multimedia applications in 3GPP2 BCMCS” in IEEE Transactions on Broadcasting, 2007, 53(1), 338-349.
[17] Chen, Yunxia, and Qing Zhao, “An integrated approach to energy-aware medium access for wireless sensor networks” in IEEE Transactions on Signal Processing, 2007, 55(7), 3429-3444.
[18] Song, Liang, and Dimitrios Hatzinakos, “A cross-layer architecture of wireless sensor networks for target tracking” in IEEE/ACM Transactions on Networking, 2007, 15(1), 145-158.
[19] Fallahi, Afshin, and EkramHossain, “Distributed and energy-aware MAC for differentiated services, wireless packet networks: a general queuing analytical framework” in IEEE Transactions on Mobile Computing, 2007, 6(4), 381-394.
[20] Liu, Jain-Shing, and C-HR Lin, “ECTP: an energy-efficiency label-switching MAC protocol for infrastructure wireless networks” in IEEE Transactions on Vehicular Technology, 2007, 56(3), 1399-1417.
[21] Sagduyu, YalinEvren, and Anthony Ephremides, “On joint MAC and network coding in wireless ad hoc networks” in IEEE Transactions on Information Theory, 2007, 53(10), 3697-3713.
[22] Amin Shahraki, Amir Taherkordi, Øystein Haugen, and Frank Eliassen, “Clustering objectives in wireless sensor networks: A survey and research direction analysis”,Computer Networks, Volume 180, 2020.
[23] August, Nathaniel J., and Dong Sam Ha, “Operation, system architectures, and physical Layer design considerations of distributed MAC protocols for UWB” in IEEE Transactions on Microwave Theory and Techniques, 2006, 54(7), 3001-3012.
[24] M. Youssef, J. Farah, C. A. Nour and C. Douillard, "Resource Allocation in NOMA Systems for Centralized and Distributed Antennas With Mixed Traffic Using Matching Theory," in IEEE Transactions on Communications, Jan 2020, vol. 68, no. 1, 414-428.
[25] Basnayake, Vishaka; Jayakody, Dushantha N.K.; Sharma, Vishal; Sharma, Nikhil; Muthuchidambaranathan, P. and Mabed, Hakim. 2020. "A New Green Prospective of Non-orthogonal Multiple Access (NOMA) for 5G" Information 11, no. 2: 89. https://doi.org/10.3390/info11020089.
[26] Joshua Onyeka Ogbebor, Agbotiname Lucky Imoize, and Aderemi Aaron-Anthony Atayero, “Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions”, in Wireless Communications and Mobile Computing, vol. 2020, Article ID 7235362, 19 pages, 2020.
[27] T.Bernatin and G.Sundari, “Video compression based on hybrid transform and quantization with Huffman coding for video codec” in ICCICCT-2014,452-456.
