access icon free Energy-efficient medium access control and routing protocol for multihop wireless sensor networks

This work presents a combined energy-efficient medium access control (MAC) and routing protocol for large-scale wireless sensor networks that aims to minimise energy consumption and prolong the network lifetime. The proposed communication framework employs the following measures to enhance the network energy efficiency. Firstly, it provides an adaptive intra-cluster schedule to arbitrate media access of sensor nodes within a cluster, minimising idle listening on sensor nodes, leading to improved energy performance. Secondly, it proposes an on-demand source cross-layer routing protocol ensuring selection of best routes based on energy level and channel quality indicator for the multihop inter-cluster data transmission. Lastly, an unequal cluster size technique based on cluster head residual energy and distance away from the base station is utilised. This technique balances the energy among clusters and avoids early network partitioning. This work further presents the analytical performance model for energy consumption and delay of the proposed communication framework. The performance measures used for evaluation are energy consumption, delay, and network lifetime. The results indicate that combining routing and MAC schemes conserves energy better than utilising MAC scheme alone.

Inspec keywords: routing protocols; telecommunication scheduling; wireless sensor networks; access protocols; wireless channels; energy consumption; pattern clustering; energy conservation; telecommunication power management; data communication

Other keywords: multihop intercluster data transmission; channel quality indicator; network energy efficiency enhancement; large-scale wireless sensor network; on-demand source cross-layer routing protocol; adaptive intracluster scheduling; unequal cluster size technique; best routes selection; cluster head residual energy; energy consumption minimisation; base station; idle listening minimisation; multihop wireless sensor network; energy level; energy-efficient MAC protocol; energy consumption; energy-efficient medium access control; network lifetime prolongation; communication framework

Subjects: Communication network design, planning and routing; Telecommunication systems (energy utilisation); Wireless sensor networks; Protocols

References

    1. 1)
      • 7. Hsu, T.-H., Yen, P.-Y.: ‘Adaptive time division multiple access-based medium access control protocol for energy conserving and data transmission in wireless sensor networks’, IET Commun., 2011, 5, pp. 26622672.
    2. 2)
      • 16. Kremer, W.: ‘Data transmission characteristics in short range inter-vehicle communication system (IVCS)’. IEEE 42nd Vehicular Technology Conf., 1992, pp. 298302.
    3. 3)
      • 21. Shynk, J.J.: ‘Probability, random variables, and random processes: theory and signal processing applications’ (John Wiley & Sons, Hoboken, New Jersey, USA, 2012).
    4. 4)
      • 8. Johnson, D.B., Maltz, D.A.: ‘Dynamic source routing in ad hoc wireless networks’, in Imielinski, T., Korth, H.F. (Eds.): ‘Mobile computing’ vol. 353 (The Kluwer International Series in Engineering and Computer Science, Boston, MA, 1996), pp. 153181.
    5. 5)
      • 14. Farooq, M.O., Kunz, T.: ‘Impact of route length on the performance of routing and flow admission control algorithms in wireless sensor networks’, IET Wirel. Sensor Syst., 2016, 6, (1), pp. 1016.
    6. 6)
      • 17. Hayashida, Y., Maeda, A., Sugimachi, N., et al: ‘Performance analysis of go-back-N ARQ scheme with selective repeat in intra-block’, IEEE Trans.Commun., 2002, 50, pp. 391395.
    7. 7)
      • 13. Hayes, T., Ali, F.H.: ‘Location aware sensor routing protocol for mobile wireless sensor networks’, IET Wirel. Sensor Syst., 2016, 6, (2), pp. 4957.
    8. 8)
      • 2. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: ‘An application-specific protocol architecture for wireless microsensor networks’, IEEE Trans. Wirel. Commun., 2002, 1, pp. 660670.
    9. 9)
      • 6. Lazarou, G.Y., Li, J., Picone, J.: ‘A cluster-based power-efficient MAC scheme for event-driven sensing applications’, Ad Hoc Netw., 2007, 5, pp. 10171030.
    10. 10)
      • 1. Demirkol, I., Ersoy, C., Alagoz, F.: ‘MAC protocols for wireless sensor networks: a survey’, IEEE Commun. Mag., 2006, 44, pp. 115121.
    11. 11)
      • 3. Ibriq, J., Mahgoub, I.: ‘Cluster-based routing in wireless sensor networks: issues and challenges’. SPECTS, 2004, pp. 759766.
    12. 12)
      • 22. Ikki, S., Ahmed, M.H.: ‘Performance analysis of incremental-relaying cooperative-diversity networks over Rayleigh fading channels’, IET Commun., 2011, 5, pp. 337349.
    13. 13)
      • 12. Tunca, C., Isik, S., Donmez, M.Y., et al: ‘Ring routing: an energy-efficient routing protocol for wireless sensor networks with a mobile sink’, IEEE Trans. Mob. Comput., 2015, 9, pp. 19471960.
    14. 14)
      • 15. Akhavan, M.R., Aijaz, A., Choobkar, S., et al: ‘On the multi-hop performance of receiver based MAC protocol in routing protocol for low-power and lossy networks-based low power and lossy wireless sensor networks’, IET Wirel. Sensor Syst., 2015, 5, (1), pp. 4249.
    15. 15)
      • 11. Gong, B., Li, L., Wang, S., et al: ‘Multihop routing protocol with unequal clustering for wireless sensor networks’. ISECS Int. Colloquium on Computing, Communication, Control, and Management, 2008. CCCM'08, 2008, pp. 552556.
    16. 16)
      • 19. Karjee, J., Jamadagni, H.: ‘Energy aware node selection for cluster-based data accuracy estimation in wireless sensor networks’, Int. J. Adv. Netw. Appl., 2012, 3, (5), pp. 13111322.
    17. 17)
      • 10. Li, C., Ye, M., Chen, G., et al: ‘An energy-efficient unequal clustering mechanism for wireless sensor networks’. IEEE Int. Conf. on Mobile Adhoc and Sensor Systems Conf., 2005, pp. 8604.
    18. 18)
      • 5. Pei, G., Chien, C.: ‘Low power TDMA in large wireless sensor networks’. Military Communications Conf., 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE, 2001, pp. 347351.
    19. 19)
      • 23. Massaro, M.: ‘The distribution of error probability for Rayleigh fading and Gaussian noise’, IEEE Trans. Commun., 1974, 22, pp. 18561858.
    20. 20)
      • 9. Perkins, C.E., Royer, E.M.: ‘Ad-hoc on-demand distance vector routing’. Second IEEE Workshop on Mobile Computing Systems and Applications, 1999. Proc. WMCSA'99, 1999, pp. 90100.
    21. 21)
      • 4. Gama, S., Walingo, T., Takawira, F.: ‘Energy analysis for the distributed receiver based cooperative MAC for wireless sensor networks’, IET Wirel. Sensor Syst., 2015, 5, (4), pp. 193203.
    22. 22)
      • 18. Haider, A., Harris, R.: ‘A novel proportional fair scheduling algorithm for HSDPA in UMTS networks’. The 2nd Int. Conf. on Wireless Broadband and Ultra Wideband Communications, 2007. AusWireless 2007, 2007, pp. 4343.
    23. 23)
      • 20. Yang, O., Heinzelman, W.B.: ‘Modeling and performance analysis for duty-cycled MAC protocols with applications to S-MAC and X-MAC’, IEEE Trans. Mobile Comput., 2012, 11, (6), pp. 905921.
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