Rearrangement of mobile wireless sensor nodes for coverage maximization based on immune node deployment algorithm. (April 2015)

• Record Type: Journal Article
• Authors: Abo-Zahhad, Mohammed; Ahmed, Sabah M.; Sabor, Nabil; Sasaki, Shigenobu
• Is Part Of: Computers & electrical engineering. Volume 43(2015)
• Page Start: 76
• Page End: 89
• Publication Date: 2015-04
• Subjects: Wireless mobile sensor network -- Coverage holes -- Multi-objective immune algorithm -- Deployment strategies -- Connectivity -- Mobility cost; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.04.003
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract : Graphical abstract: Highlights: A new deployment approach for WSNs based on the multi-objective immune algorithm is proposed. The approach rearranges sensors to remit the coverage holes and improves the network coverage. The approach is energy efficient and ensures the connectivity by limiting the mobility cost of sensors. Simulation experiments were completed in MATLAB correctly. The approach has many advantages comparing with other algorithms. Abstract: One of the primary objectives of Wireless Sensor Network (WSN) is to provide full coverage of a sensing field as long as possible. The deployment strategy of sensor nodes in the sensor field is the most critical factor related to the network coverage. However, the traditional deployment methods can cause coverage holes in the sensing field. Therefore, this paper proposes a new deployment method based on Multi-objective Immune Algorithm (MIA) and binary sensing model to alleviate these coverage holes. MIA is adopted here to maximize the coverage area of WSN by rearranging the mobile sensors based on limiting their mobility within their communication range to preserve the connectivity among them. The performance of the proposed algorithm is compared with the previous algorithms using Matlab simulation for different network environments with and without obstacles. Simulation results show that the proposed algorithm improves the coverage area and the mobility cost of WSN.