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Erschienen in: The Journal of Supercomputing 2/2017

29.06.2016

P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

verfasst von: Paola G. Vinueza Naranjo, Mohammad Shojafar, Habib Mostafaei, Zahra Pooranian, Enzo Baccarelli

Erschienen in: The Journal of Supercomputing | Ausgabe 2/2017

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Abstract

Energy efficiency is one of the main issues that will drive the design of fog-supported wireless sensor networks (WSNs). Indeed, the behavior of such networks becomes very unstable in node’s heterogeneity and/or node’s failure. In WSNs, clusters are dynamically built up by neighbor nodes, to save energy and prolong the network lifetime. One of the nodes plays the role of Cluster Head (CH) that is responsible for transferring data among the neighboring sensors. Due to pervasive use of WSNs, finding an energy-efficient policy to opt CHs in the WSNs has become increasingly important. Due to this motivations, in this paper, a modified Stable Election Protocol (SEP), named Prolong-SEP (P-SEP) is presented to prolong the stable period of Fog-supported sensor networks by maintaining balanced energy consumption. P-SEP enables uniform nodes distribution, new CH selecting policy, and prolong the time interval of the system, especially before the failure of the first node. P-SEP considers two-level nodes’ heterogeneities: advanced and normal nodes. In P-SEP, the advanced and normal nodes have the opportunity to become CHs. The performance of the proposed approach is evaluated by varying the various parameters of the network in comparison with other state-of-the-art cluster-based routing protocols. The simulation results point out that, by varying the initial energy and node heterogeneity parameters, the network lifetime of P-SEP improved by 31, 29, 20 and 40 % in comparison with SEP, Low-Energy Adaptive Clustering Hierarchy with Deterministic Cluster-Head Selection (LEACH-DCHS), Modified SEP (M-SEP) and an efficient modified SEP (EM-SEP), respectively.

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Fußnoten
1
i.e., Minimizing start up time yields more power per day, hours, minutes to perform other tasks, such as routing and communication [44].
 
Literatur
1.
Zurück zum Zitat Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422CrossRef Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422CrossRef
2.
Zurück zum Zitat Pooranian Z, Barati A, Movaghar A (2011) Queen-bee algorithm for energy efficient clusters in wireless sensor networks. WASET 73:1080–1083 Pooranian Z, Barati A, Movaghar A (2011) Queen-bee algorithm for energy efficient clusters in wireless sensor networks. WASET 73:1080–1083
3.
Zurück zum Zitat Rowaihy H, Johnson MP, Liu O, Bar-Noy A, Brown T, Porta TL (2010) Sensor-mission assignment in wireless sensor networks. ACM Trans Sens Netw (TOSN) 6(4):36 Rowaihy H, Johnson MP, Liu O, Bar-Noy A, Brown T, Porta TL (2010) Sensor-mission assignment in wireless sensor networks. ACM Trans Sens Netw (TOSN) 6(4):36
4.
Zurück zum Zitat Shojafar M, Cordeschi N, Baccarelli E (2016) Energy-efficient adaptive resource management for real-time vehicular cloud services. IEEE Trans Cloud Comput PP(99):1 Shojafar M, Cordeschi N, Baccarelli E (2016) Energy-efficient adaptive resource management for real-time vehicular cloud services. IEEE Trans Cloud Comput PP(99):1
5.
Zurück zum Zitat Wei W, Qi Y (2011) Information potential fields navigation in wireless ad-hoc sensor networks. Sensors 11(5):4794–4807CrossRef Wei W, Qi Y (2011) Information potential fields navigation in wireless ad-hoc sensor networks. Sensors 11(5):4794–4807CrossRef
6.
Zurück zum Zitat Wei W, Yang X-L, Shen P-Y, Zhou B (2012) Holes detection in anisotropic sensornets: topological methods. Int J Distrib Sens Net Wei W, Yang X-L, Shen P-Y, Zhou B (2012) Holes detection in anisotropic sensornets: topological methods. Int J Distrib Sens Net
7.
Zurück zum Zitat Mostafaei H (2015) Stochastic barrier coverage in wireless sensor networks based on distributed learning automata. Comput Commun 55:51–61CrossRef Mostafaei H (2015) Stochastic barrier coverage in wireless sensor networks based on distributed learning automata. Comput Commun 55:51–61CrossRef
8.
Zurück zum Zitat Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Efficient datacenter resource utilization through cloud resource overcommitment. In: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, pp 330–335 Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Efficient datacenter resource utilization through cloud resource overcommitment. In: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, pp 330–335
9.
Zurück zum Zitat Shuja J, Gani A, Shamshirband S, Ahmad RW, Bilal K (2016) Sustainable cloud data centers: a survey of enabling techniques and technologies. Renew Sustain Energy Rev 62:195–214CrossRef Shuja J, Gani A, Shamshirband S, Ahmad RW, Bilal K (2016) Sustainable cloud data centers: a survey of enabling techniques and technologies. Renew Sustain Energy Rev 62:195–214CrossRef
10.
Zurück zum Zitat Mostafaei H, Chowdhury MU, Islam R, Gholizadeh H (2015) Connected P-Percent coverage in wireless sensor networks based on degree constraint dominating set approach. In: Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. ACM. pp 157–160 Mostafaei H, Chowdhury MU, Islam R, Gholizadeh H (2015) Connected P-Percent coverage in wireless sensor networks based on degree constraint dominating set approach. In: Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. ACM. pp 157–160
11.
Zurück zum Zitat Mostafaei H, Shojafar M (2015) A new meta-heuristic algorithm for maximizing lifetime of wireless sensor networks. Wireless Personal Communications 82(2):723–742CrossRef Mostafaei H, Shojafar M (2015) A new meta-heuristic algorithm for maximizing lifetime of wireless sensor networks. Wireless Personal Communications 82(2):723–742CrossRef
12.
Zurück zum Zitat Handy M, Haase M, Timmermann D (2002) Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: 4th international workshop on mobile and wireless communications network, pp 368–372 Handy M, Haase M, Timmermann D (2002) Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: 4th international workshop on mobile and wireless communications network, pp 368–372
13.
Zurück zum Zitat Liu Y, Gao J, Jia Y, Zhu L (2008) A cluster maintenance algorithm based on leach-dchs protocol. In: International Conference on Networking, Architecture, and Storage. IEEE, pp 165–166 Liu Y, Gao J, Jia Y, Zhu L (2008) A cluster maintenance algorithm based on leach-dchs protocol. In: International Conference on Networking, Architecture, and Storage. IEEE, pp 165–166
14.
Zurück zum Zitat Smaragdakis G, Matta I, Bestavros A et al (2004) Sep: a stable election protocol for clustered heterogeneous wireless sensor networks. In: Second international workshop on sensor and actor network protocols and applications (SANPA 2004), pp 1–11 Smaragdakis G, Matta I, Bestavros A et al (2004) Sep: a stable election protocol for clustered heterogeneous wireless sensor networks. In: Second international workshop on sensor and actor network protocols and applications (SANPA 2004), pp 1–11
15.
Zurück zum Zitat Singh D, Panda CK (2015) Performance analysis of modified stable election protocol in heterogeneous wsn. In: 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, pp 1–5 Singh D, Panda CK (2015) Performance analysis of modified stable election protocol in heterogeneous wsn. In: 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, pp 1–5
16.
Zurück zum Zitat Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: Proceedings of the first edition of the MCC workshop on mobile cloud computing. ACM, pp 13–16 Bonomi F, Milito R, Zhu J, Addepalli S (2012) Fog computing and its role in the internet of things. In: Proceedings of the first edition of the MCC workshop on mobile cloud computing. ACM, pp 13–16
17.
Zurück zum Zitat Madsen H, Albeanu G, Burtschy B, Popentiu-Vladicescu F (2013) Reliability in the utility computing era: towards reliable fog computing. In: 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, pp 43–46 Madsen H, Albeanu G, Burtschy B, Popentiu-Vladicescu F (2013) Reliability in the utility computing era: towards reliable fog computing. In: 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, pp 43–46
18.
Zurück zum Zitat Bitam S, Mellouk A, Zeadally S (2015) Vanet-cloud: a generic cloud computing model for vehicular ad hoc networks. Wirel Commun IEEE 22(1):96–102CrossRef Bitam S, Mellouk A, Zeadally S (2015) Vanet-cloud: a generic cloud computing model for vehicular ad hoc networks. Wirel Commun IEEE 22(1):96–102CrossRef
19.
Zurück zum Zitat Urgaonkar R, Wang S, He T, Zafer M, Chan K, Leung KK (2015) Dynamic service migration and workload scheduling in edge-clouds. Perform Eval 91:205–228CrossRef Urgaonkar R, Wang S, He T, Zafer M, Chan K, Leung KK (2015) Dynamic service migration and workload scheduling in edge-clouds. Perform Eval 91:205–228CrossRef
20.
Zurück zum Zitat Wang S, Urgaonkar R, Zafer M, He T, Chan K, Leung KK (2015) Dynamic service migration in mobile edge-clouds. In: IFIP Networking Conference (IFIP networking). IEEE, pp 1–9 Wang S, Urgaonkar R, Zafer M, He T, Chan K, Leung KK (2015) Dynamic service migration in mobile edge-clouds. In: IFIP Networking Conference (IFIP networking). IEEE, pp 1–9
21.
Zurück zum Zitat Zhu J, Chan DS, Prabhu MS, Natarajan P, Hu H,Bonomi F (2013) Improving web sites performance using edge servers in fog computing architecture. In: IEEE 7th International Symposium on Service Oriented System Engineering (SOSE). IEEE, pp 320–323 Zhu J, Chan DS, Prabhu MS, Natarajan P, Hu H,Bonomi F (2013) Improving web sites performance using edge servers in fog computing architecture. In: IEEE 7th International Symposium on Service Oriented System Engineering (SOSE). IEEE, pp 320–323
22.
Zurück zum Zitat Shiraz M, Gani A, Shamim A, Khan S, Ahmad RW (2015) Energy efficient computational offloading framework for mobile cloud computing. J Grid Comput 13(1):1–18CrossRef Shiraz M, Gani A, Shamim A, Khan S, Ahmad RW (2015) Energy efficient computational offloading framework for mobile cloud computing. J Grid Comput 13(1):1–18CrossRef
23.
Zurück zum Zitat Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Software-defined networking security: pros and cons. Commun Mag IEEE 53(6):73–79CrossRef Dabbagh M, Hamdaoui B, Guizani M, Rayes A (2015) Software-defined networking security: pros and cons. Commun Mag IEEE 53(6):73–79CrossRef
24.
Zurück zum Zitat Liu X (2012) A survey on clustering routing protocols in wireless sensor networks. Sensors 12(8):11 113–11 153 Liu X (2012) A survey on clustering routing protocols in wireless sensor networks. Sensors 12(8):11 113–11 153
25.
Zurück zum Zitat Ali MS, Dey T, Biswas R (2008) Aleach: advanced leach routing protocol for wireless microsensor networks. in: International Conference on Electrical and Computer Engineering, (2008) ICECE 2008. IEEE, pp 909–914 Ali MS, Dey T, Biswas R (2008) Aleach: advanced leach routing protocol for wireless microsensor networks. in: International Conference on Electrical and Computer Engineering, (2008) ICECE 2008. IEEE, pp 909–914
26.
Zurück zum Zitat Malluh AA, Elleithy KM, Qawaqneh Z, Mstafa RJ, Alanazi A (2014) Em-sep: an efficient modified stable election protocol. In: 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1), pp 1–7 Malluh AA, Elleithy KM, Qawaqneh Z, Mstafa RJ, Alanazi A (2014) Em-sep: an efficient modified stable election protocol. In: 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1), pp 1–7
27.
Zurück zum Zitat Nayak P, Devulapalli A (2016) A fuzzy logic-based clustering algorithm for wsn to extend the network lifetime. Sens J IEEE 16(1):137–144CrossRef Nayak P, Devulapalli A (2016) A fuzzy logic-based clustering algorithm for wsn to extend the network lifetime. Sens J IEEE 16(1):137–144CrossRef
28.
Zurück zum Zitat Balasubramaniyan R, Chandrasekaran M (Jan 2013) A new fuzzy based clustering algorithm for wireless mobile ad-hoc sensor networks. In: 2013 International Conference on Computer Communication and Informatics (ICCCI), pp 1–6 Balasubramaniyan R, Chandrasekaran M (Jan 2013) A new fuzzy based clustering algorithm for wireless mobile ad-hoc sensor networks. In: 2013 International Conference on Computer Communication and Informatics (ICCCI), pp 1–6
29.
Zurück zum Zitat Taheri H, Neamatollahi P, Younis OM, Naghibzadeh S, Yaghmaee MH (2012) An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic. Ad Hoc Netw 10(7):1469–1481CrossRef Taheri H, Neamatollahi P, Younis OM, Naghibzadeh S, Yaghmaee MH (2012) An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic. Ad Hoc Netw 10(7):1469–1481CrossRef
30.
Zurück zum Zitat Sert SA, Bagci H, Yazici A (2015) Mofca: multi-objective fuzzy clustering algorithm for wireless sensor networks. Appl Soft Comput 30:151–165CrossRef Sert SA, Bagci H, Yazici A (2015) Mofca: multi-objective fuzzy clustering algorithm for wireless sensor networks. Appl Soft Comput 30:151–165CrossRef
31.
Zurück zum Zitat Baranidharan B, Santhi B (2016) Ducf: Distributed load balancing unequal clustering in wireless sensor networks using fuzzy approach. Appl Soft Comput 40:495–506CrossRef Baranidharan B, Santhi B (2016) Ducf: Distributed load balancing unequal clustering in wireless sensor networks using fuzzy approach. Appl Soft Comput 40:495–506CrossRef
32.
Zurück zum Zitat Bagci H, Yazici A (2013) An energy aware fuzzy approach to unequal clustering in wireless sensor networks. Appl Soft Comput 13(4):1741–1749CrossRef Bagci H, Yazici A (2013) An energy aware fuzzy approach to unequal clustering in wireless sensor networks. Appl Soft Comput 13(4):1741–1749CrossRef
33.
Zurück zum Zitat Gupta I, Riordan D, Sampalli S (2005) Cluster-head election using fuzzy logic for wireless sensor networks. In: Proceedings of the 3rd Annual Communication Networks and Services Research Conference, ser. CNSR ’05. IEEE Computer Society, Washington, DC, USA, pp 255–260 Gupta I, Riordan D, Sampalli S (2005) Cluster-head election using fuzzy logic for wireless sensor networks. In: Proceedings of the 3rd Annual Communication Networks and Services Research Conference, ser. CNSR ’05. IEEE Computer Society, Washington, DC, USA, pp 255–260
34.
Zurück zum Zitat Lin H, Wang L, Kong R (2015) Energy efficient clustering protocol for large-scale sensor networks. Sens J IEEE 15(12):7150–7160CrossRef Lin H, Wang L, Kong R (2015) Energy efficient clustering protocol for large-scale sensor networks. Sens J IEEE 15(12):7150–7160CrossRef
35.
Zurück zum Zitat Katiyar V, Chand N, Gautam G, Kumar A (March 2011) Improvement in leach protocol for large-scale wireless sensor networks. In: 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT), pp 1070–1075 Katiyar V, Chand N, Gautam G, Kumar A (March 2011) Improvement in leach protocol for large-scale wireless sensor networks. In: 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT), pp 1070–1075
36.
Zurück zum Zitat Souid I, Ben Chikha H, El Monser M, Gasmi S, Attia R (Sept 2014) Multi-hop dynamic clustering leach protocol for large scale networks. In: 2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp 144–148 Souid I, Ben Chikha H, El Monser M, Gasmi S, Attia R (Sept 2014) Multi-hop dynamic clustering leach protocol for large scale networks. In: 2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp 144–148
37.
Zurück zum Zitat Cordeschi N, Shojafar M, Baccarelli E (2013) Energy-saving self-configuring networked data centers. Comput Netw 57(17):924–928CrossRef Cordeschi N, Shojafar M, Baccarelli E (2013) Energy-saving self-configuring networked data centers. Comput Netw 57(17):924–928CrossRef
38.
Zurück zum Zitat Cao Y, Chen S, Hou P, Brown D (2015) Fast: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation. In: 2015 IEEE International Conference on Networking, Architecture and Storage (NAS). IEEE, pp 2–11 Cao Y, Chen S, Hou P, Brown D (2015) Fast: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation. In: 2015 IEEE International Conference on Networking, Architecture and Storage (NAS). IEEE, pp 2–11
39.
Zurück zum Zitat Luan TH, Gao L, Li Z, Xiang Y, Sun L (2015) Fog computing: focusing on mobile users at the edge. Technical report. arXiv:1502.01815 Luan TH, Gao L, Li Z, Xiang Y, Sun L (2015) Fog computing: focusing on mobile users at the edge. Technical report. arXiv:​1502.​01815
40.
Zurück zum Zitat Baccarelli E, Biagi M (2003) Optimized power allocation and signal shaping for interference-limited multi-antenna ad hoc networks. In: Personal wireless communications. Springer, pp 138–152 Baccarelli E, Biagi M (2003) Optimized power allocation and signal shaping for interference-limited multi-antenna ad hoc networks. In: Personal wireless communications. Springer, pp 138–152
41.
Zurück zum Zitat Baccarelli E, Cordeschi N, Polli V (2013) Optimal self-adaptive qos resource management in interference-affected multicast wireless networks. IEEE/ACM Trans Netw (TON) 21(6):1750–1759CrossRef Baccarelli E, Cordeschi N, Polli V (2013) Optimal self-adaptive qos resource management in interference-affected multicast wireless networks. IEEE/ACM Trans Netw (TON) 21(6):1750–1759CrossRef
42.
Zurück zum Zitat Wei W, Xu Q, Wang L, Hei X, Shen P, Shi W, Shan L (2014) Gi/geom/1 queue based on communication model for mesh networks. J Commun Syst 27(11):3013–3029 Wei W, Xu Q, Wang L, Hei X, Shen P, Shi W, Shan L (2014) Gi/geom/1 queue based on communication model for mesh networks. J Commun Syst 27(11):3013–3029
43.
Zurück zum Zitat Cordeschi N, Patriarca T, Baccarelli E (2012) Stochastic traffic engineering for real-time applications over wireless networks. J Netw Comput Appl 35(2):681–694CrossRef Cordeschi N, Patriarca T, Baccarelli E (2012) Stochastic traffic engineering for real-time applications over wireless networks. J Netw Comput Appl 35(2):681–694CrossRef
44.
Zurück zum Zitat Mainwaring A, Culler D, Polastre J, Szewczyk R, Anderson J (2002) Wireless sensor networks for habitat monitoring. In: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications. ACM, pp 88–97 Mainwaring A, Culler D, Polastre J, Szewczyk R, Anderson J (2002) Wireless sensor networks for habitat monitoring. In: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications. ACM, pp 88–97
45.
Zurück zum Zitat Petrioli C, Nati M, Casari P, Zorzi M, Basagni S (2014) Alba-r: load-balancing geographic routing around connectivity holes in wireless sensor networks. Parallel Distrib Syst IEEE Trans 25(3):529–539CrossRef Petrioli C, Nati M, Casari P, Zorzi M, Basagni S (2014) Alba-r: load-balancing geographic routing around connectivity holes in wireless sensor networks. Parallel Distrib Syst IEEE Trans 25(3):529–539CrossRef
46.
Zurück zum Zitat Li J, Blake C, De Couto DS, Lee HI, Morris R (2001) Capacity of ad hoc wireless networks. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking. ACM, pp 61–69 Li J, Blake C, De Couto DS, Lee HI, Morris R (2001) Capacity of ad hoc wireless networks. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking. ACM, pp 61–69
47.
Zurück zum Zitat Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. Wirel Commun IEEE Trans 1(4):660–670CrossRef Heinzelman WB, Chandrakasan AP, Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. Wirel Commun IEEE Trans 1(4):660–670CrossRef
Metadaten
Titel
P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks
verfasst von
Paola G. Vinueza Naranjo
Mohammad Shojafar
Habib Mostafaei
Zahra Pooranian
Enzo Baccarelli
Publikationsdatum
29.06.2016
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 2/2017
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-016-1785-9

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