CLC number: TP393
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-06-11
Cited: 0
Clicked: 7030
Citations: Bibtex RefMan EndNote GB/T7714
Hossein Hadadian Nejad Yousefi, Yousef Seifi Kavian, Alimorad Mahmoudi. Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(9): 1266-1276.
@article{title="Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks",
author="Hossein Hadadian Nejad Yousefi, Yousef Seifi Kavian, Alimorad Mahmoudi",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="20",
number="9",
pages="1266-1276",
year="2019",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700855"
}
%0 Journal Article
%T Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks
%A Hossein Hadadian Nejad Yousefi
%A Yousef Seifi Kavian
%A Alimorad Mahmoudi
%J Frontiers of Information Technology & Electronic Engineering
%V 20
%N 9
%P 1266-1276
%@ 2095-9184
%D 2019
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700855
TY - JOUR
T1 - Multi-level cross-layer protocol for end-to-end delay provisioning in wireless multimedia sensor networks
A1 - Hossein Hadadian Nejad Yousefi
A1 - Yousef Seifi Kavian
A1 - Alimorad Mahmoudi
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 20
IS - 9
SP - 1266
EP - 1276
%@ 2095-9184
Y1 - 2019
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1700855
Abstract: Rapid developments in information and communication technology in recent years have posed a significant challenge in wireless multimedia sensor networks (WMSNs). end-to-end delay and reliability are the critical issues in multimedia applications of sensor networks. In this paper we provide a new cross-layer approach for provisioning the end-to-end delay of the network at a desirable level of the packet delivery ratio (PDR), used here as a measure of network reliability. In the proposed multi-level cross-layer (MLCL) protocol, the number of hops away from the sink is used to set a level for each node. A packet is routed through the path with the minimum hop count to the sink using this level setting. The proposed protocol uses cross-layer properties between the network and medium access control (MAC) layers to estimate the minimum delay, with which a node can deliver a packet to the sink. When a node wants to send a packet, the MLCL protocol compares this minimum delay with the time to live (TTL) of a packet. If the TTL of the packet is higher than the minimum delay, the node sends the packet through the path with the minimum delay; otherwise, the node drops the packet as the node cannot deliver it to the sink within the TTL duration. This packet dropping improves network performance because the node can send a useful packet instead of an unusable packet. The results show a superior performance in terms of end-to-end delay and reliability for the proposed protocol compared to state-of-the-art protocols.
[1]Akyildiz IF, Melodia T, Chowdhury KR, 2006. A survey on wireless multimedia sensor networks. Comput Netw, 51(4):921-960.
[2]Akyildiz IF, Melodia T, Chowdhury KR, 2008. Wireless multimedia sensor networks: applications and testbeds. Proc IEEE, 96(10):1588-1605.
[3]Al-Wazedi I, Elhakeem AK, 2011. Cross layer design using adaptive spatial TDMA and optimum routing for wireless mesh networks. AEU Int J Electron Commun, 65(1):44- 52.
[4]Bhuiyan MM, Gondal I, Kamruzzaman J, 2011. CODAR: congestion and delay aware routing to detect time critical events in WSNs. Proc Int Conf on Information Networking, p.357-362.
[5]Dargie W, Poellabauer C, 2010. Fundamentals of Wireless Sensor Networks: Theory and Practice. Wiley, Chichester, West Sussex, UK.
[6]Deb B, Bhatnagar S, Nath B, 2003. ReInForM: reliable information forwarding using multiple paths in sensor networks. Proc 28th Annual IEEE Int Conf on Local Computer Networks, p.406-415.
[7]Demir AK, Demiray HE, Baydere S, 2011. XLCM: xross-layer communication module for service differentiation in wireless sensor networks. Proc 7th Int Wireless Communications and Mobile Computing Conf, p.565- 570.
[8]Demir AK, Demiray HE, Baydere S, 2014. QoSMOS: cross- layer QoS architecture for wireless multimedia sensor networks. Wirel Netw, 20(4):655-670.
[9]Ehsan S, Hamdaoui B, 2012. A survey on energy-efficient routing techniques with QoS assurances for wireless multimedia sensor networks. IEEE Commun Surv Tutor, 14(2):265-278.
[10]Felemban E, Lee CG, Ekici E, 2006. MMSPEED: multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans Mob Comput, 5(6):738-754.
[11]Feng W, Feng SL, Ding YH, et al., 2014. Cross-layer resource allocation in wireless multi-hop networks with outdated channel state information. J Zhejiang Univ-Sci C (Comput & Electron), 15(5):337-350.
[12]Hadadian H, Kavian YS, 2016. Cross-layer protocol using contention mechanism for supporting big data in wireless sensor network. Proc 10th Int Symp on Communication Systems, Networks and Digital Signal Processing, p.1-5.
[13]Hamid Z, Bashir F, 2013. Xl-WMSN: cross-layer quality of service protocol for wireless multimedia sensor networks. EURASIP J Wirel Commun Netw, 2013(1):174.
[14]Hamid Z, Hussain FB, 2014. QoS in wireless multimedia sensor networks: a layered and cross-layered approach. Wirel Pers Commun, 75(1):729-757.
[15]He T, Stankovic JA, Lu CY, et al., 2003. SPEED: a stateless protocol for real-time communication in sensor networks. Proc 23rd Int Conf on Distributed Computing Systems, p.46-55.
[16]Hou IH, 2015. Packet scheduling for real-time surveillance in multihop wireless sensor networks with lossy channels. IEEE Trans Wirel Commun, 14(2):1071-1079.
[17]Huang GM, Tao WJ, Liu PS, et al., 2013. Multipath ring routing in wireless sensor networks. Proc 2nd Int Symp on Computer, Communication, Control and Automation, p.768-771.
[18]Karaca O, Sokullu R, 2012. A cross-layer fault tolerance management module for wireless sensor networks. J Zhejiang Univ-Sci C (Comput & Electron), 13(9):660- 673.
[19]Kruk Ł, Lehoczky J, Ramanan K, et al., 2011. Heavy traffic analysis for EDF queues with reneging. Ann Appl Prob, 21(2):484-545.
[20]Kumar VN, Sankar KS, Rao LS, et al., 2012. Comparative analysis of QoS-aware routing protocols for wireless sensor networks. Innov Syst Des Eng, 3(3):100-104.
[21]Li L, Liu YH, Wang J, et al., 2018. Partially observed cross- layer optimization for vehicular communications. Int J Commun Syst, 31(1):e3398.
[22]Lin XH, Kwok YK, Wang H, 2009. Cross-layer design for energy efficient communication in wireless sensor networks. Wirel Commun Mob Comput, 9(2):251-268.
[23]Lin ZC, van der Schaar M, 2011. Autonomic and distributed joint routing and power control for delay-sensitive applications in multi-hop wireless networks. IEEE Trans Wirel Commun, 10(1):102-113.
[24]Mendes LDP, Rodrigues JJPC, 2011. A survey on cross-layer solutions for wireless sensor networks. J Netw Comput Appl, 34(2):523-534.
[25]Messaoudi A, Elkamel R, Helali A, et al., 2017. Cross-layer based routing protocol for wireless sensor networks using a fuzzy logic module. Proc 13th Int Wireless Communications and Mobile Computing Conf, p.764- 769.
[26]Misra S, Reisslein M, Xue GL, 2008. A survey of multimedia streaming in wireless sensor networks. IEEE Commun Surv Tutor, 10(4):18-39.
[27]Pandya A, Mehta M, 2012. Performance evaluation of multipath ring routing protocol for wireless sensor network. Proc Int Conf on Advances in Computer, Electronics and Electrical Engineering, p.410-414.
[28]Sahoo A, Chilukuri S, 2010. DGRAM: a delay guaranteed routing and MAC protocol for wireless sensor networks. IEEE Trans Mob Comput, 9(10):1407-1423.
[29]Singh R, Verma AK, 2017. Energy efficient cross layer based adaptive threshold routing protocol for WSN. AEU Int J Electron Commun, 72:166-173.
[30]Vuran MC, Akyildiz IF, 2010. XLP: a cross-layer protocol for efficient communication in wireless sensor networks. IEEE Trans Mob Comput, 9(11):1578-1591.
[31]Wang C, Li B, Sohraby K, et al., 2007. Upstream congestion control in wireless sensor networks through cross-layer optimization. IEEE J Sel Areas Commun, 25(4):786-795.
[32]Wang HG, Peng DM, Wang W, et al., 2008. Cross-layer routing optimization in multirate wireless sensor networks for distributed source coding based applications. IEEE Trans Wirel Commun, 7(10):3999-4009.
[33]Wang HG, Peng DM, Wang W, et al., 2009. Image transmissions with security enhancement based on region and path diversity in wireless sensor networks. IEEE Trans Wirel Commun, 8(2):757-765.
[34]Wang W, Peng DM, Wang HG, et al., 2009. Cross-layer multirate interaction with distributed source coding in wireless sensor networks. IEEE Trans Wirel Commun, 8(2):787-795.
[35]Yigitel MA, Incel OD, Ersoy C, 2011. QoS-aware MAC protocols for wireless sensor networks: a survey. Comput Netw, 55(8):1982-2004.
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