scholarly journals Investigative prototyping a tissue P system for solving distributed task assignment problem in heterogeneous wireless sensor network

Author(s):  
Titus Issac ◽  
Salaja Silas ◽  
Elijah Blessing Rajsingh
2013 ◽  
Vol 373-375 ◽  
pp. 306-310 ◽  
Author(s):  
Ping Deng ◽  
Ke Li Zhang

A typical Wireless Sensor Network (WSN) only performs the action of sensing the environment, the needs of smart interaction with the environment have led to the emergence of Wireless Sensor and Actuator Network (WSAN). With the presence of actuators, WSAN is heterogeneous, which brings about new challenges that need to be addressed. In this paper, the task assignment of actuators in overlapping area is studied. Firstly, a new utility function is defined, which is the standard to choose the proper action actuators in overlapping area. Then, based on the new utility function, a distributed solution called localized auction method to solve task assignment problem in overlapping area is proposed. Simulation results demonstrate that the proposed auction method can assign tasks to the unique actuator and meet the action completion bound.


Author(s):  
Yakubu Abdul-Wahab Nawusu ◽  
Alhassan Abdul-Barik ◽  
Salifu Abdul-Mumin

Extending the lifetime of a wireless sensor network is vital in ensuring continuous monitoring functions in a target environment. Many techniques have appeared that seek to achieve such prolonged sensing gains. Clustering and improved selection of cluster heads play essential roles in the performance of sensor network functions. Cluster head in a hierarchical arrangement is responsible for transmitting aggregated data from member nodes to a base station for further user-specific data processing and analysis. Minimising the quick dissipation of cluster heads energy requires a careful choice of network factors when selecting a cluster head to prolong the lifetime of a wireless sensor network. In this work, we propose a multi-criteria cluster head selection technique to extend the sensing lifetime of a heterogeneous wireless sensor network. The proposed protocol incorporates residual energy, distance, and node density in selecting a cluster head. Each factor is assigned a weight using the Rank Order Centroid based on its relative importance. Several simulation tests using MATLAB 7.5.0 (R2007b) reveal improved network lifetime and other network performance indicators, including stability and throughput, compared with popular protocols such as LEACH and the SEP. The proposed scheme will be beneficial in applications requiring reliable and stable data sensing and transmission functions.


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