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A Self-adaptive Duty Cycle Receiver Reservation MAC Protocol for Power Efficient Wireless Sensor Networks
Objectives: In Wireless Sensor Networks nodes are deployed into hazardous environments with limited battery source. The nodes must operate with utmost power efficiency to continue performing critical tasks. Methods/Statistical Analysis: In order to be power efficient, the underlying MAC protocol of the network has to be designed to expend minimal energy during the functioning of the nodes. Most of the MAC protocols achieve energy efficiency by controlling the duty cycle. Selfadaptive duty cycle along with receiver reservation provides a viable means to reduce energy expenditure of the nodes. Findings: In this paper, we propose a receiver reservation MAC protocol that utilizes self-adaptive duty cycling which bring better power efficiency in WSN. The sleep interval of the nodes is regulated based on the self-adaptive factor. This factor is determined based on the packets received at the node in current and previous transmission cycles. Application/ Improvements: Receiver reservation helps the network to avoid collisions and back offs. The self-adaptive nature of the MAC protocol enables the nodes to tune their duty cycle based on the data transmitted in the network.
Collisions and Back Offs, Energy Expenditure, Receiver Reservation, Self-adaptive Factor, Sleep Interval, Transmission Cycles.
- Monk J, Bharghavan V, Hwu W. a power controlled multiple access protocol for wireless packet networks. IEEE Conference on Computer Communications (INFOCOM), USA; 2001. p. 219–28.
- Raghunathan V, Ganeriwal S, Srivastava M. Emerging techniques for long lived wireless sensor networks. Communications Magazine. 2006; 44(4):108–14.
- Mohindru V, Singh Y. Efficient approach for securing message communication in wireless sensor networks from node clone attack. Indian Journal of Science and Technology. 2016 Aug; 9(32):1–7.
- Lavanya N, Shankar T. A review on energy-efficient scheduling mechanisms in wireless sensor networks. Indian Journal of Science and Technology. 2016 Aug; 9(32):1–4.
- Nacef ABSM, Senouci Y, Ghamri-Doudane G, Beylot AL. COSMIC: A cooperative MAC protocol for WSN with minimal control messages in NTMS - Mobility Track (NTMS- Mobility Track), Paris, France; 2011.
- Dohler M, Li Y. Cooperative communications: hardware. Channel and PHY. Wiley and Sons; 2010.
- Shanmukhi M, Ramanaiah OBV. Extended comb needle model for energy efficient data aggregation in random wireless sensor networks. Indian Journal of Science and Technology. 2016 Jun; 9(22):1–10.
- Bossche VD, Val AT. WiNo: Une plateforme d’émulation et de prototypage rapide pour l'ingénierie des protocoles en réseaux de capteurs sans fil. UbiMob, France; 2013. p. 1–7.
- Prashar D, Jyoti K, Kumar D. A comparison of distributed range free localization algorithms in wireless sensor networks. Indian Journal of Science and Technology. 2016 Jul; 9(28):1–5.
- Lu J, Bossche VD, Campo AE. An adaptive and distributed collision-free MAC protocol for wireless personal area networks. 6th International Symposium on Intelligent Systems Techniques for Ad hoc and Wireless Sensor Networks (IST-AWSN 11). 2011; 5:798–803.
- Villaverde CB, Alberola DPR, Rea S, Pesch D. Experimental evaluation of beacon scheduling mechanisms for multihop IEEE 802.15.4 wireless sensor networks. 4th Conference on Sensor Technologies and Applications (SENSORCOMM), Ireland; 2010. p. 1–6.
- Mihai G, Alina DA, Ion B. Performance analysis on T-MAC protocol over a body area network. 3rd International Symposium on Electrical and Electronics Engineering ISEEE, Romania; 2010.
- Gil JK, Tsiftes N, Dunkels A, Terzis A. Pragmatic low-power interoperability: ContikiMAC vs TinyOS LPL. 9th Annual IEEE Communications Society Conference on Sensor; 2012.
- IEEE 802.15.4 Standard Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). IEEE Standard for Information Technology, IEEE-SA Standards Board [Internet]. [cited 2006]. Available from: http://profsite.um.ac.ir/~hyaghmae/ACN/WSNMAC1.pdf.
- Shrestha DM, Kim C, Ko UB. A reliable multi-grid protocol for tactical MANETs. Research in Applied Computation Symposium, (RACS’11), Miami, USA; 2011. 164–9.
- Wu Z, Song H, Jiang S, Xu X. Energy-aware grid multipath routing protocol in MANET. Proceedings of the First Asia International Conference on Modelling and Simulation, (AMS’07). China; 2007.
- Yu L, Wang N, Zhang W, Zheng C. GROUP: A grid-clustering routing protocol for wireless sensor networks. Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, (WiCOM); 2006. p. 1–5.
- Arafeh B, Day K, Touzene A, AlzeidiN. GEGR: A Grid-based Enabled Geographic Routing in wireless sensor networks. IEEE Malaysia International Conference on Communication, (MICC), Muscat, Oman; 2013.
- Tahmassebpour M. Methods and algorithms of capacity calculation and increase throughput in wireless sensor networks base of ZigBee: A survey. Indian Journal of Science and Technology. 2016 Jul; 9(26):1–7.
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