J. David Sukeerthi Kumar


This paper will present the importance of the wireless sensor network.  These are playing   significant role in research domains.  Thousands of sensors are fabricated in a multi-hop wireless sensor network for computational operations, communication process, and sensing.  The following are the major areas of applications where WSNs are used border security and surveillance, medical care, agricultural sector, traffic and transport monitoring, process control, fire monitoring and son on.   Since, these networks are having wide range of real-time applications along with distributed embedded system. Hence, these systems need highly vibrant environments for huge computational operations and communications, must suit the parameters like resource limitations and limited communication capabilities, timing constraints. WSNs combines the sensing, computation, and communication into a single miniature component, that will have a sensors, a processing unit with restricted computational power and limited memory, a communication device may be a radio transmission control or optical transmission control and a battery for providing power source.  There are many gaps in researching of memory management for WSN in associate concurrent applications.  Management of real-time traffic needs lots of memory for emerging new applications in this area. So, it becomes a challenge to design effective memory management techniques.  Finally, this project will specifically propose a efficient memory management technique for different operating systems to handle the such applications in WSNs.


Memory Management Technique; Wireless Sensor Networks; Sensors; Operating Systems;


. H. Abrach, S. Bhatti, J. Carlson, H. Dai, J. Rose, A. Sheth, B. Shucker, J. Deng, and R. Han. ‘MANTIS: system support for MultimodAlNeTworks of In-Situ sensors’. In Proc.WSNA’03, 2003.

. ManjiriPathak, ‘OS design challenges & research opportunities in real-time WSNs & approach for real time support in Nano-RK’, COMPUSOFT, An international journal of advanced computer technology, 2 (7), July-2013 (Volume-II, Issue-VII)

. Hai-ying Zhou, Feng Wu, Kun-mean Hou, ‘An Event-driven Multi-threading Real-time Operating System Dedicated to Wireless Sensor Networks’, 2008 International Conference on Embedded Software and Systems.


. Tiwari, Ankit et al., Energy-efficient wireless sensor network design and implementation for condition-based maintenance, ACM Transactions on Sensor Networks (TOSN),

. A Survey on Centralised and Distributed Clustering Routing Algorithms for WSNs (PDF). IEEE 81st Vehicular Technology Conference. Glasgow, Scotland: IEEE. Spring 2015.

. MuazNiazi, Amir Hussain (2011). A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments. IEEE Sensors Journal, Vol.11 No. 2, 404–412


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